Solver Gallery
898 solvers across 132 modalities — from classical to foundation models
Tier:
330
Traditional / CPU
413
Famous DL
155
Best Quality
Traditional / CPU
Classical & Optimization Methods
(330 solvers)Run on CPU with zero training. Classical inverse-problem solvers, variational methods, PnP denoisers, and compressed sensing.
| Solver | Type | Params | Modalities | Reference |
|---|---|---|---|---|
|
AC-OSEM
H-aware
|
Classical | 0 |
spect_ct
|
CT-based attenuation correction |
|
ADI
H-aware
|
Classical | 0 |
coronagraphy
|
Marois et al., ApJ 2006 |
|
AIDE
|
Variational | 0 |
elastography
|
Oliphant et al., Magn. Reson. Med. 2001 |
|
AIRI
H-aware
|
PnP | 0 |
astronomy
radio_astronomy
radio_interferometry
|
Terris et al., MNRAS 2022 |
|
ALOHA
H-aware
|
Low-Rank | 0 |
mri
|
Jin et al., IEEE TMI 2016 |
|
Alternating Projections
H-aware
|
Classical | 0 |
fpm
|
Zheng et al., Nat. Photonics 2013 |
|
AM-CEUS
|
Classical | 0 |
ceus
|
Mor-Avi et al., JACC 2002 |
|
ANDROMEDA
H-aware
|
Statistical | 0 |
coronagraphy
|
Cantalloube et al., A&A 2015 |
|
APAP
H-aware
|
Classical | 0 |
panorama
|
Zaragoza et al., CVPR 2013 |
|
ART
H-aware
|
Classical | 0 |
computational
|
Gordon et al., J. Theor. Biol. 1970 |
|
ART-TV
H-aware
|
Variational | 0 |
ct
|
Li et al., Med. Phys. 2004 |
|
B-spline FFD
H-aware
|
Classical | 0 |
us_mri
|
Rueckert et al., IEEE TMI 1999 |
|
Backus-Gilbert
H-aware
|
Classical | 0 |
passive_microwave
|
Backus & Gilbert, Geophys. J. 1968 |
|
Bas-Protocol
H-aware
|
Classical | 0 |
atom_probe
|
Bas et al., Appl. Surf. Sci. 87-88:298, 1995 |
|
Baseline Correction
H-aware
|
Classical | 0 |
spectroscopy
|
Polynomial fitting baseline |
|
Bayesian CS
H-aware
|
PnP | 0 |
quantum
|
Bayesian compressed sensing |
|
BayesWave
H-aware
|
PnP | 0 |
gravitational_wave
|
Cornish & Littenberg, CQG 2015 |
|
BDI
H-aware
|
PnP | 0 |
lucky_imaging
|
Law et al., ApJ 2006 |
|
Belief Propagation
H-aware
|
Classical | 0 |
depth_imaging
|
Pearl, Probabilistic Reasoning 1988 |
|
Bilateral Filter
H-aware
|
Classical | 0 |
lidar
|
Tomasi & Manduchi, ICCV 1998 |
|
BM3D-CLE
|
Classical | 0 |
confocal_endomicroscopy
|
Dabov et al., IEEE TIP 2007 |
|
BM3D-CT
H-aware
|
PnP | 0 |
ct
|
Dabov et al., IEEE TIP 2007; Chen 2014 |
|
BM3D-Deblur
H-aware
|
PnP | 0 |
coded_exposure
|
Danielyan et al., IEEE TIP 2012 |
|
BM3D-DF
|
Classical | 0 |
dark_field
|
Dabov et al., IEEE TIP 2007 (DF adapt.) |
|
BM3D-Endo
|
Classical | 0 |
endoscopy
|
Dabov et al., IEEE TIP 2007 |
|
BM3D-FIB
|
Classical | 0 |
fib_sem
|
Dabov et al., IEEE TIP 2007 |
|
BM3D-Fluoro
|
Classical | 0 |
fluoroscopy
|
Dabov et al., IEEE TIP 2007 |
|
BM3D-MRI
H-aware
|
PnP | 0 |
mri
|
Eksioglu, Comput. Math. Meth. Med. 2016 |
|
BM4D
H-aware
|
PnP | 0 |
clinical_optics
|
Maggioni et al., IEEE TIP 2013 |
|
BML-Sep
|
Classical | 0 |
dexa
|
Lehmann et al., Med. Phys. 1981 |
|
Born-ADMM
H-aware
|
PnP | 0 |
odt
|
Lim et al., Phys. Rev. Lett. 2015 |
|
Born-Approx
|
Classical | 0 |
dot
|
Arridge, Inverse Probl. 1999 |
|
BTR
H-aware
|
Classical | 0 |
scanning_probe
|
Villarrubia, JRNIST 1997 |
|
Calibration-Lookup
H-aware
|
Classical | 0 |
scientific_instrumentation
|
Look-up table calibration |
|
CF-Doppler
|
Classical | 0 |
doppler_ultrasound
|
Evans & McDicken, Doppler Ultrasound 2000 |
|
CGLS
H-aware
|
Classical | 0 |
ct
|
Bjorck, SIAM 1996 |
|
CHARMED
|
Statistical | 0 |
diffusion_mri
|
Assaf & Basser, NeuroImage 2005 |
|
Chirp Scaling
H-aware
|
Classical | 0 |
remote_sensing
|
Raney et al., IEEE TGRS 1994 |
|
CLAHE-Endo
|
Classical | 0 |
endoscopy
|
Zuiderveld, Graphics Gems IV 1994 |
|
CLEAN
H-aware
|
Classical | 0 |
astronomy
radio_astronomy
radio_interferometry
|
Hogbom, A&AS 1974 |
|
CLEAN-AP
H-aware
|
Classical | 0 |
weather_radar
|
Torres & Zrnic, IEEE TGRS 1999 |
|
CLEAN-VLBI
|
Classical | 0 |
eht_imaging
|
Hogbom, A&AS 1974 |
|
CNMF
H-aware
|
Classical | 0 |
hyperspectral_remote
|
Yokoya et al., IEEE TGRS 2012 |
|
Coates-Hist
|
Classical | 0 |
flash_lidar
|
Coates, J. Phys. E 1968 |
|
Coincidence-Count
|
Classical | 0 |
entangled_photon
|
Pittman et al., Phys. Rev. A 1995 |
|
COLMAP+MVS
|
Classical | 0 |
neural_rendering
|
Schonberger & Frahm, CVPR 2016 |
|
Complementary
|
Classical | 0 |
event_camera
|
Scheerlinck et al., RA-L 2018 |
|
Cotton-Schwab
H-aware
|
Classical | 0 |
astronomy
|
Cotton & Schwab, ApJ 1983 |
|
Cross-Correlation
|
Classical | 0 |
clem
|
Thévenaz et al., IEEE TIP 1998 |
|
cryoSPARC
H-aware
|
Classical | 0 |
cryo_em
electron_microscopy
|
Punjani et al., Nat. Methods 2017 |
|
CrystFEL
H-aware
|
Classical | 0 |
xfel_sfx
|
White et al., J. Appl. Cryst. 2012 |
|
CS-ET
|
Compressed Sensing | 0 |
electron_tomography
|
Leary et al., Ultramicroscopy 2013 |
|
CS-Ghost
|
Compressed Sensing | 0 |
entangled_photon
|
Katz et al., Appl. Phys. Lett. 2009 |
|
CS-TVAL3
H-aware
|
PnP | 0 |
quantum
|
Li et al., 2014 |
|
CTFFIND4
|
Classical | 0 |
cryo_em
|
Rohou & Grigorieff, J. Struct. Biol. 2015 |
|
DAOSTORM
|
Classical | 0 |
dna_paint
|
Holden et al., Nat. Methods 2011 |
|
DAS
H-aware
|
Classical | 0 |
medical_ultrasound
sonar
|
Van Trees, Array Processing, 2002 |
|
DAS-CF
H-aware
|
Classical | 0 |
medical_ultrasound
|
Capon filter, IEEE 1969 |
|
Deconv
H-aware
|
Classical | 0 |
scientific_instrumentation
|
Analytical baseline |
|
Deconv-Exp
|
Classical | 0 |
expansion
|
Chen et al., Science 2015 |
|
DeepDeWedge
H-aware
|
Self-Supervised | 12M |
cryo_et
|
Wiedemann et al., Nat. Methods 2024 |
|
Demons
H-aware
|
Classical | 0 |
us_mri
|
Thirion, Med. Image Anal. 1998 |
|
DeSCI
H-aware
|
PnP | 0 |
cacti
|
Liu et al., PAMI 2018 |
|
DeSCI-CUP
H-aware
|
PnP | 8M |
cup
|
Liu et al., IEEE TPAMI 2018 (CUP adapt.) |
|
DI-EBSD
|
Classical | 0 |
ebsd
|
Chen et al., Ultramicroscopy 2015 |
|
DI-Elasto
|
Variational | 0 |
elastography
|
Van Houten et al., Magn. Reson. Med. 2001 |
|
DIC-Deconv
|
Classical | 0 |
dic
|
Preza et al., JOSA A 1999 |
|
Direct Methods
H-aware
|
Classical | 0 |
electron_microscopy
|
Analytical baseline |
|
Direct-Methods
|
Classical | 0 |
electron_diffraction
|
Hauptman & Karle, Nobel Prize 1985 |
|
DLCT
H-aware
|
Dictionary Learning | 0 |
ct
|
Xu et al., IEEE TMI 2012 |
|
DPC-ADMM
H-aware
|
PnP | 0 |
phase_contrast
|
Tian & Waller, BOE 2015 |
|
Drizzle
H-aware
|
Classical | 0 |
lucky_imaging
|
Fruchter & Hook, PASP 2002 |
|
DROP-TVS
H-aware
|
PnP | 0 |
proton_radiography
|
Penfold et al., Med. Phys. 2010 |
|
DTI-FIT
|
Classical | 0 |
diffusion_mri
|
Behrens et al., MRM 2003 |
|
EC-Deconv
|
Classical | 0 |
eddy_current
|
Bowler, J. Appl. Phys. 1994 |
|
eht-imaging
H-aware
|
Variational | 0 |
eht_imaging
|
Chael et al., ApJ 2018 |
|
EMC
H-aware
|
Classical | 0 |
xfel_sfx
|
Loh & Elser, Phys. Rev. E 2009 |
|
ePIE
H-aware
|
Classical | 0 |
ptychography
|
Maiden & Rodenburg, Ultramicroscopy 2009 |
|
Error Reduction
H-aware
|
Classical | 0 |
coherent
|
Fienup, J. Opt. Soc. Am. 1982 |
|
ESPIRiT
H-aware
|
Compressed Sensing | 1e-3 |
mri
|
Uecker et al., MRM 2014 |
|
Event-Integration
|
Classical | 0 |
event_camera
|
Mead & Mahowald, Analog VLSI 1989 |
|
FALCON
H-aware
|
PnP | 0 |
palm_storm
|
Min et al., Sci. Rep. 2014 |
|
FBP
|
Classical | 0 |
ct
medical
xray_ndt
|
Kak & Slaney, IEEE Press 1988 |
|
FBP-DBT
|
Classical | 0 |
digital_breast_tomo
|
Sechopoulos, Med. Phys. 2013 |
|
FBP-DEXA
|
Classical | 0 |
dexa
|
Mazess et al., Am. J. Clin. Nutr. 1990 |
|
FBP-MLP
H-aware
|
Classical | 0 |
proton_radiography
|
Schulte et al., Med. Phys. 2008 |
|
FBP-PET
H-aware
|
Classical | 0 |
particle_imaging
|
Analytical baseline |
|
FBP-XRF
|
Classical | 0 |
ct_fluorescence
|
Boisseau & Grodzins, Hyperfine Int. 1987 |
|
FDK
H-aware
|
Classical | 0 |
angiography
brachytherapy_img
cbct
industrial_ct
|
Feldkamp et al., JOSA A 1(6):612, 1984 |
|
FEM-DOT
H-aware
|
Classical | 0 |
dot
|
Schweiger et al., J. Biomed. Opt. 2005 |
|
FF-SFG
H-aware
|
Classical | 0 |
quantum_illumination
|
Zhuang et al., PRL 2017 |
|
FFT-Holo
|
Classical | 0 |
electron_holography
|
Lehmann & Lichte, Microsc. Microanal. 2002 |
|
FFT-OCT
H-aware
|
Classical | 0 |
clinical_optics
|
Analytical baseline |
|
FISTA-TV
H-aware
|
Classical | 0 |
compressive
spc_block
spc_kronecker
|
InverseNet |
|
FP-Quantify
H-aware
|
Classical | 0 |
xrf_imaging
|
Sole et al., Spectrochim. Acta B 2007 |
|
Fried Estimator
H-aware
|
Classical | 0 |
adaptive_optics
|
Fried, JOSA 1977 |
|
G(2)-Corr
H-aware
|
Classical | 0 |
quantum
|
Pittman et al., PRA 1995 |
|
GAP-TV
H-aware
|
Classical | 0 |
cassi
compressive
|
InverseNet |
|
GAP-TV
H-aware
|
Variational | 0 |
cacti
cup
|
Yuan, IEEE TCI 2016 |
|
GARFIELD++
H-aware
|
Classical | 0 |
particle_calorimetry
|
Veenhof, Nucl. Instr. Meth. 1998 |
|
Gauss-Newton
H-aware
|
Classical | 0 |
impedance_tomo
|
Cheney et al., SIAM Rev. 1999 |
|
Gerchberg-Saxton
H-aware
|
Classical | 0 |
coherent
|
Gerchberg & Saxton, Optik 1972 |
|
Goldstein MCF
H-aware
|
Classical | 0 |
shearography
|
Goldstein et al., Radio Sci. 1988 |
|
Goldstein-MCF
H-aware
|
Classical | 0 |
insar
|
Goldstein et al., Radio Sci. 1988 |
|
Gordon AC
H-aware
|
Classical | 0 |
ocean_color
|
Gordon & Wang, Appl. Opt. 1994 |
|
Gradient Descent FPM
H-aware
|
Classical | 0 |
fpm
|
Tian & Waller, Optica 2015 |
|
Graph Cuts
H-aware
|
Classical | 0 |
depth_imaging
|
Boykov et al., IJCV 2001 |
|
GRAPPA
H-aware
|
Classical | 0 |
mri
|
Griswold et al., MRM 2002 |
|
Gray Code
H-aware
|
Classical | 0 |
structured_light
|
Inokuchi et al., Appl. Opt. 1984 |
|
GS/HIO
H-aware
|
Classical | 0 |
coherent
|
Fienup, Appl. Opt. 1982 |
|
Guided Reconstruction
H-aware
|
PnP | 0 |
multi_modal_fusion
|
Structural guidance from auxiliary modality |
|
Histogram-Eq
|
Classical | 0 |
endoscopy
|
Gonzalez & Woods, Digital Image Processing 2002 |
|
Hough-EBSD
|
Classical | 0 |
ebsd
|
Krieger Lassen, J. Microsc. 1994 |
|
ICA-EELS
|
Statistical | 0 |
eels
|
Bosman et al., Ultramicroscopy 2006 |
|
Image Registration
H-aware
|
Classical | 0 |
multi_modal_fusion
|
Rigid/deformable registration baseline |
|
IMOD
H-aware
|
Classical | 0 |
cryo_et
|
Kremer et al., J. Struct. Biol. 1996 |
|
InSAR-BM3D
H-aware
|
PnP | 0 |
insar
|
Deledalle et al., IEEE TIP 2015 |
|
IRCNN-Confocal
|
PnP | 7M |
confocal_3d
|
Zhang et al., CVPR 2017 |
|
k-t SPARSE-SENSE
H-aware
|
Compressed Sensing | 1e-3 |
mri
|
Lustig et al., MRM 2006 |
|
Kirchhoff Migration
H-aware
|
Classical | 0 |
gpr
|
Stolt, Geophysics 1978 |
|
KK-Retrieval
|
Classical | 0 |
cars
|
Liu et al., Opt. Express 2009 |
|
KLIP
H-aware
|
Classical | 0 |
coronagraphy
|
Soummer et al., ApJ 2012 |
|
L-BFGS FWI
H-aware
|
Classical | 0 |
fwi
|
Virieux & Operto, Geophysics 2009 |
|
L1-Wavelet
H-aware
|
Compressed Sensing | 1e-3 |
mri
|
Lustig et al., MRM 2007 |
|
L1-Wavelet (ESPIRiT)
H-aware
|
Compressed Sensing | 0 |
asl_mri
|
Lustig et al., MRM 2007; Uecker et al., MRM 2014 |
|
Landmark-Reg
|
Classical | 0 |
clem
|
Arganda-Carreras et al., Bioinformatics 2006 |
|
Laplacian Pyramid
H-aware
|
Classical | 0 |
computational_photography
|
Burt & Adelson, TPAMI 1983 |
|
Le Bail Fit
H-aware
|
Classical | 0 |
neutron_diffraction
|
Le Bail et al., Mater. Res. Bull. 1988 |
|
Lee Filter
H-aware
|
PnP | 0 |
remote_sensing
|
Lee, IEEE TGRS 1980 |
|
LFE-Elasto
|
Classical | 0 |
elastography
|
Manduca et al., Magn. Reson. Imaging 2001 |
|
LOCI
H-aware
|
Classical | 0 |
coronagraphy
|
Lafrenière et al., ApJ 2007 |
|
LORAKS
H-aware
|
Compressed Sensing | 1e-4 |
mri
|
Haldar, IEEE TMI 2014 |
|
Lorentzian-Fit
|
Classical | 0 |
brillouin
cest_mri
|
Dil, Rep. Prog. Phys. 1982 |
|
LS Normal Est.
H-aware
|
Classical | 0 |
photometric_stereo
|
Woodham, Opt. Eng. 1980 |
|
LSQR
H-aware
|
Classical | 0 |
computational
|
Paige & Saunders, TOMS 1982 |
|
Lucy-Richardson
H-aware
|
Classical | 0 |
computational_photography
|
Lucy, AJ 1974 |
|
MANTIS
H-aware
|
Classical | 0 |
mr_fingerprinting
|
Cohen et al., MRM 2018 |
|
MAP-OSEM
H-aware
|
PnP | 0 |
spect_ct
|
Nuyts et al., 2002 |
|
MAPEM-RDP
H-aware
|
PnP | 0 |
particle_imaging
|
Nuyts et al., IEEE TMI 2002 |
|
Matched Filter
H-aware
|
Classical | 0 |
experimental_science
gravitational_wave
remote_sensing
|
Allen et al., Phys. Rev. D 2012 |
|
MBLL
H-aware
|
Classical | 0 |
nirs_brain
|
Cope & Delpy, Med. Biol. Eng. Comput. 1988 |
|
MCR-ALS
H-aware
|
Classical | 0 |
pump_probe
|
Tauler, Chemom. Intell. Lab. 1995 |
|
McSAS
H-aware
|
Classical | 0 |
saxs
|
Bressler et al., J. Appl. Cryst. 2015 |
|
MEM
H-aware
|
Classical | 0 |
astronomy
|
Gull & Daniell, Nature 1978 |
|
MEM-CARS
|
Classical | 0 |
cars
|
Rinia et al., J. Raman Spectrosc. 2008 |
|
MEM-VLBI
|
Variational | 0 |
eht_imaging
|
Narayan & Nityananda, ARA&A 1986 |
|
MicroED
|
Classical | 0 |
electron_diffraction
|
Shi et al., eLife 2013 |
|
ML-EM
H-aware
|
Classical | 0 |
particle_imaging
|
Shepp & Vardi, IEEE TPAMI 1982 |
|
MLAA
H-aware
|
Classical | 0 |
multi_modal_fusion
|
Rezaei et al., IEEE TMI 2012 |
|
MLE Localization
H-aware
|
Classical | 0 |
minflux
|
Balzarotti et al., Science 2017 |
|
MLE Reconstruction
H-aware
|
Classical | 0 |
scanning_probe
|
Classical statistical method |
|
MLE-FLIM
|
Statistical | 0 |
flim
|
Grinvald & Steinberg, Anal. Biochem. 1974 |
|
MLE-SPAD
|
Classical | 0 |
flash_lidar
|
Kirmani et al., Science 2014 |
|
MLEM-XRF
H-aware
|
Classical | 0 |
ct_fluorescence
|
Jaszczak et al., IEEE TNS 1981 (XRF adapt.) |
|
MLS-EDX
|
Classical | 0 |
edx_mapping
|
Statham, J. Anal. At. Spectrom. 1995 |
|
MLS-EELS
|
Statistical | 0 |
eels
|
Verbeeck & Van Aert, Ultramicroscopy 2004 |
|
Molecular Replacement
H-aware
|
Classical | 0 |
xray_crystallography
|
McCoy et al., J. Appl. Cryst. 2007 |
|
MR-Guided
H-aware
|
PnP | 0 |
multi_modal_fusion
|
Ehrhardt et al., SIIS 2015 |
|
MSI-Hotelling
|
Classical | 0 |
desi
|
Deininger et al., Proteomics 2011 |
|
MSI-NMF
|
Classical | 0 |
desi
|
Blanco et al., Anal. Chem. 2013 |
|
MSI-PCA
|
Classical | 0 |
desi
|
Alexandrov et al., J. Bioinform. Comput. Biol. 2010 |
|
MSI-TV
|
Variational | 0 |
desi
|
Fonville et al., Bioinformatics 2012 |
|
MTR-asym
|
Classical | 0 |
cest_mri
|
Zhou et al., Nat. Med. 2003 |
|
MUMM
H-aware
|
Classical | 0 |
ocean_color
|
Ruddick et al., RSE 2000 |
|
MUSIC-EC
|
Classical | 0 |
eddy_current
|
Skarlatos et al., NDT&E Int. 2012 |
|
MV-Doppler
|
Variational | 0 |
doppler_ultrasound
|
Langeland et al., IEEE TUFFC 2003 |
|
MVDR/Capon
H-aware
|
Classical | 0 |
sonar
|
Capon, Proc. IEEE 1969 |
|
N2V-EDX
|
Self-Supervised | 8M |
edx_mapping
|
Krull et al., NeurIPS 2019 |
|
N2V-EELS
|
Self-Supervised | 8M |
eels
|
Krull et al., NeurIPS 2019 |
|
N2V-FIB
|
Self-Supervised | 8M |
fib_sem
|
Krull et al., NeurIPS 2019 |
|
NL-Means-LiDAR
|
Classical | 0 |
flash_lidar
|
Rapp & Goyal, IEEE TCI 2017 |
|
NLM-FIB
|
Classical | 0 |
fib_sem
|
Buades et al., CVPR 2005 |
|
NLM-Fluorescence
|
Classical | 0 |
confocal_livecell
|
Buades et al., CVPR 2005 |
|
NLM-Fluoro
|
Classical | 0 |
fluoroscopy
|
Buades et al., CVPR 2005 |
|
NLM-OCT
H-aware
|
PnP | 0 |
clinical_optics
|
Buades et al., Multiscale Model. Simul. 2005 |
|
NLM-Speckle
|
Classical | 0 |
confocal_endomicroscopy
|
Buades et al., CVPR 2005 |
|
NMF-EDX
|
Statistical | 0 |
edx_mapping
|
Nicoletti et al., Nature 2013 |
|
Noise2Self
|
Self-Supervised | 7M |
confocal_livecell
|
Batson & Royer, ICML 2019 |
|
Noise2Void
|
Self-Supervised | 7M |
confocal_3d
confocal_livecell
|
Krull et al., CVPR 2019 |
|
Noise2Void-DF
|
Self-Supervised | 8M |
dark_field
|
Krull et al., CVPR 2019 (DF) |
|
OPA Receiver
H-aware
|
Classical | 0 |
quantum_illumination
|
Guha & Erkmen, PRA 2009 |
|
OS-EM
H-aware
|
Classical | 0 |
particle_imaging
|
Hudson & Larkin, IEEE TMI 1994 |
|
OSEM
H-aware
|
Classical | 0 |
ct
particle_imaging
spect_ct
|
Hudson & Larkin, IEEE TMI 1994 |
|
PALM
|
Classical | 0 |
dna_paint
|
Betzig et al., Science 2006 |
|
PandoraPFA
H-aware
|
Classical | 0 |
particle_calorimetry
|
Thomson, JINST 2009 |
|
PCA Retrieval
H-aware
|
Classical | 0 |
talbot_lau
|
Zanette et al., PMB 2012 |
|
PCA-ADI
H-aware
|
Classical | 0 |
coronagraphy
|
Amara & Quanz, MNRAS 2012 |
|
PCT
H-aware
|
Classical | 0 |
active_thermography
|
Maldague & Marinetti, J. Appl. Phys. 1996 |
|
Peak Fitting
H-aware
|
Classical | 0 |
scientific_instrumentation
|
Gaussian peak fitting |
|
PEDT
|
Classical | 0 |
electron_diffraction
|
Kolb et al., Ultramicroscopy 2007 |
|
Phase Shifting
H-aware
|
Classical | 0 |
structured_light
|
Srinivasan et al., Appl. Opt. 1984 |
|
Phase Stepping
H-aware
|
Classical | 0 |
talbot_lau
|
Weitkamp et al., Opt. Express 2005 |
|
Phase Unwrap
H-aware
|
Classical | 0 |
tof_camera
|
Bamji et al., IEEE SSC 2015 |
|
Phase-DLSIM
|
Classical | 0 |
dic
|
Stephens & Allen, J. Biomed. Opt. 2003 |
|
Phasor-FLIM
|
Classical | 0 |
flim
|
Digman et al., Biophys. J. 2008 |
|
Photogrammetry
|
Classical | 0 |
neural_rendering
|
Structure-from-Motion baseline |
|
Photon Counting
H-aware
|
Classical | 0 |
quantum
|
Classical baseline |
|
Pixon
H-aware
|
PnP | 0 |
solar_imaging
|
Pina & Puetter, PASP 1993 |
|
Plane Fit
H-aware
|
Classical | 0 |
afm
|
Nečas & Klapetek, Open Physics 2012 |
|
PN2V
|
Self-Supervised | 8M |
confocal_livecell
|
Krull et al., ECCV 2020 |
|
PnP-ADMM
H-aware
|
PnP | 0 |
acoustic_emission
acoustic_microscopy
active_thermography
afm
angiography
+15 more
|
Venkatakrishnan et al., GlobalSIP 2013 |
|
PnP-ADMM (BLT)
H-aware
|
PnP | 0 |
bioluminescence_tomo
|
Venkatakrishnan et al., IEEE GlobalSIP 2013 |
|
PnP-ADMM (WF)
H-aware
|
PnP | 0 |
adaptive_optics
|
Venkatakrishnan et al., 2013 |
|
PnP-BM3D
H-aware
|
PnP | 0 |
fundus
scientific_instrumentation
xrf_imaging
|
Danielyan et al., 2012 |
|
PnP-BM3D (APT)
H-aware
|
PnP | 0 |
atom_probe
|
Danielyan et al., IEEE TIP 21(9):3884, 2012 |
|
PnP-DIC
|
PnP | 10M |
dic
|
Kamilov et al., Optica 2017 (DIC) |
|
PnP-DnCNN
H-aware
|
PnP | 0 |
asl_mri
cacti
medical
microscopy
mri
+1 more
|
Ahmad et al., IEEE TCI 2019 (DOI:10.1109/TCI.2019.2944521) |
|
PnP-DnCNN-Pro
H-aware
|
PnP | 0 |
mri
|
PnP-DnCNN-Pro IEEE TMI 2025 (DOI:10.1109/TMI.2025.3441240) — multi-scale DnCNN denoiser + adaptive mu/sigma schedule + SIREN INR output head + joint LPIPS+SSIM denoiser training + dynamic PnP regularization scheduling |
|
PnP-DOT
H-aware
|
PnP | 0 |
nirs_brain
|
Yoo et al., IEEE TMI 2020 |
|
PnP-DRUNet
H-aware
|
PnP | 0 |
spc_block
spc_kronecker
|
InverseNet |
|
PnP-DXA
|
PnP | 10M |
dexa
|
Venkatakrishnan et al., 2013 (DEXA adapt.) |
|
PnP-FastDVDnet
H-aware
|
PnP | 15M |
cup
|
Tassano et al., CVPR 2020 (CUP) |
|
PnP-FFDNet
H-aware
|
PnP | 0 |
compressive
computational_photography
ultrafast
|
Zhang et al., IEEE TPAMI 2020 |
|
PnP-FISTA
H-aware
|
PnP | 0 |
microscopy
|
Bai et al., 2020 |
|
PnP-HSICNN
H-aware
|
PnP | 0 |
cassi
|
InverseNet |
|
PnP-LF
H-aware
|
PnP | 0 |
integral
light_field
|
PnP-ADMM with LF prior |
|
PnP-LTTR
H-aware
|
PnP | 0 |
hyperspectral_remote
|
He et al., IEEE TGRS 2020 |
|
PnP-NLM
H-aware
|
PnP | 0 |
scientific_instrumentation
|
Non-local means filter |
|
PnP-Phase
H-aware
|
PnP | 0 |
shearography
|
PnP with phase unwrapping prior |
|
PnP-RED
H-aware
|
PnP | 0 |
computational
experimental_science
|
Romano et al., IEEE TIP 2017 |
|
PnP-SIM
H-aware
|
PnP | 0 |
sim
|
PnP with SIM forward model |
|
PnP-SPIRAL
H-aware
|
PnP | 0 |
terahertz
|
Harmany et al., IEEE TCI 2012 |
|
PnP-ToF
H-aware
|
PnP | 0 |
tof_camera
|
PnP with depth prior for ToF |
|
PnP-TV
H-aware
|
PnP | 0 |
depth_imaging
industrial_inspection
medical_ultrasound
|
TV regularization for ultrasound |
|
PnP-XRF
H-aware
|
PnP | 12M |
ct_fluorescence
|
Chan et al., IEEE TIP 2016 (XRF adapt.) |
|
PowerLaw-EELS
|
Classical | 0 |
eels
|
Egerton, EELS in the EM, Springer 2011 |
|
Pulse-Inversion
|
Classical | 0 |
ceus
|
Simpson et al., Ultrasound Med. Biol. 1999 |
|
Pulse-Pair Doppler
H-aware
|
Classical | 0 |
weather_radar
|
Zrnic, IEEE TAES 1977 |
|
PW-DAS
H-aware
|
Classical | 0 |
medical_ultrasound
|
Plane wave synthesis baseline |
|
PyFAI-Integrate
H-aware
|
Classical | 0 |
saxs
waxs
|
Ashiotis et al., J. Appl. Cryst. 2015 |
|
Range-Doppler
H-aware
|
Classical | 0 |
remote_sensing
|
SAR signal processing baseline |
|
Reg-Deconv
H-aware
|
PnP | 0 |
scanning_probe
|
Dongmo et al., 2000 |
|
RELION 1.0
H-aware
|
Classical | 0 |
electron_microscopy
|
Scheres, J. Struct. Biol. 2012 |
|
RELION 3.0
H-aware
|
Classical | 0 |
electron_microscopy
|
Zivanov et al., eLife 2018 |
|
RELION-3D
H-aware
|
Classical | 0 |
cryo_em
|
Scheres, J. Struct. Biol. 2012 |
|
RESOLVE
|
Statistical | 0 |
eht_imaging
|
Junklewitz et al., A&A 2016 |
|
Richardson-Lucy
H-aware
|
Classical | 0 |
cathodoluminescence
confocal_3d
dark_field
fundus
microscopy
+1 more
|
Richardson 1972 / Lucy 1974 |
|
Rietveld-GSAS
H-aware
|
Classical | 0 |
neutron_diffraction
|
Rietveld, J. Appl. Cryst. 1969 |
|
Rietveld-WAXS
H-aware
|
Classical | 0 |
waxs
|
Rietveld, J. Appl. Cryst. 1969 |
|
RL-ExM
|
Classical | 0 |
expansion
|
Richardson, J. Opt. Soc. Am. 1972 |
|
RLD-FLIM
|
Classical | 0 |
flim
|
Ballew & Demas, Anal. Chem. 1989 |
|
Robust PCA
H-aware
|
Classical | 0 |
photometric_stereo
|
Wu et al., ECCV 2010 |
|
RTM
H-aware
|
Classical | 0 |
gpr
|
Baysal et al., Geophysics 1983 |
|
SAFT
H-aware
|
Classical | 0 |
acoustic_microscopy
ultrasonic_phased_array
|
Schickert et al., NDT&E Int. 36:339, 2003 |
|
SAR-BM3D
H-aware
|
PnP | 0 |
remote_sensing
|
Parrilli et al., IEEE TGRS 2012 |
|
SART
H-aware
|
Classical | 0 |
ct
|
Andersen & Kak, Ultrason. Imaging 1984 |
|
SART-DBT
H-aware
|
Classical | 0 |
digital_breast_tomo
|
Andersen & Kak, Ultrason. Imaging 1984 |
|
SART-ET
H-aware
|
Classical | 0 |
cryo_et
|
Andersen & Kak, Ultrason. Imaging 1984 |
|
sDR
H-aware
|
Classical | 0 |
ptychography
|
Wen et al., J. Opt. 2019 |
|
Self-Sup AFM
H-aware
|
Self-Supervised | 4M |
afm
|
Self-supervised tip artifact deconvolution, 2023 |
|
Self-Sup Deconv
H-aware
|
Self-Supervised | 3M |
acoustic_microscopy
|
He et al., IEEE Trans. Instrum. Meas. 73, 2024 |
|
SENSE
H-aware
|
Classical | 0 |
mri
|
Pruessmann et al., MRM 1999 |
|
SG-ALS
H-aware
|
Classical | 0 |
spectroscopy
|
Savitzky-Golay + ALS baseline |
|
SG-Baseline
|
Classical | 0 |
brillouin
|
Savitzky & Golay, Anal. Chem. 1964 |
|
SGM
H-aware
|
Classical | 0 |
depth_imaging
|
Hirschmuller, TPAMI 2007 |
|
SHELXD
H-aware
|
Classical | 0 |
xray_crystallography
|
Sheldrick, Acta Cryst. D 2010 |
|
Shift-and-Add
H-aware
|
Classical | 0 |
integral
lucky_imaging
|
Fried, JOSA 1966 |
|
Shift-and-Sum
H-aware
|
Classical | 0 |
light_field
|
Ng et al., Stanford Tech Report 2005 |
|
SHORE
|
Classical | 0 |
diffusion_mri
|
Merlet & Deriche, MRM 2013 |
|
SIFT-RANSAC
H-aware
|
Classical | 0 |
panorama
|
Lowe, IJCV 2004 |
|
SIRT-ET
|
Classical | 0 |
electron_tomography
|
Gilbert, J. Theor. Biol. 1972 |
|
SMILI
H-aware
|
Compressed Sensing | 0 |
eht_imaging
|
Akiyama et al., ApJ 2017 |
|
SPARCOM
H-aware
|
PnP | 0 |
minflux
|
Solomon et al., SIAM J. Imaging Sci. 2019 |
|
Sparse TR (L1)
H-aware
|
Compressed Sensing | 0 |
acoustic_emission
|
Gao et al., J. Sound Vib. 2016 |
|
Speckle-Lee
H-aware
|
Classical | 0 |
clinical_optics
|
Lee, IEEE TGRS 1980 |
|
STORM-2D
|
Classical | 0 |
dna_paint
|
Rust et al., Nat. Methods 2006 |
|
SVD
H-aware
|
Classical | 0 |
spectroscopy
|
Singular Value Decomposition |
|
SVD-Ghost
|
Statistical | 0 |
entangled_photon
|
Gong et al., Sci. Rep. 2010 |
|
SVD-GlobFit
H-aware
|
Classical | 0 |
pump_probe
|
van Stokkum et al., BBA 2004 |
|
SVD-MRF
H-aware
|
Classical | 0 |
mr_fingerprinting
|
Ma et al., Nature 2013 |
|
TDOA-WLS
H-aware
|
Classical | 0 |
acoustic_emission
|
Kundu, J. Acoust. Soc. Am. 2014 |
|
Template Match
H-aware
|
Classical | 0 |
machine_vision
|
Brunelli, Template Matching, 2009 |
|
Temporal Filtering
H-aware
|
Classical | 0 |
ultrafast
|
Analytical baseline |
|
TFM
H-aware
|
Classical | 0 |
ultrasonic_phased_array
|
Holmes et al., NDT&E Int. 2005 |
|
Thermography-FT
H-aware
|
Classical | 0 |
industrial_inspection
|
Fourier analysis baseline |
|
ThunderSTORM
H-aware
|
Classical | 0 |
palm_storm
|
Ovesny et al., Bioinformatics 2014 |
|
TIE Solver
H-aware
|
Classical | 0 |
phase_contrast
|
Teague, JOSA 1983 |
|
Tikhonov
H-aware
|
Classical | 0 |
computational
experimental_science
|
Tikhonov, Doklady Akad. Nauk SSSR 1963 |
|
Tikhonov-BLT
H-aware
|
Classical | 0 |
bioluminescence_tomo
|
Lv et al., Phys. Med. Biol. 51:1479, 2006 |
|
Tikhonov-DOT
H-aware
|
Classical | 0 |
nirs_brain
|
Arridge, Inverse Probl. 1999 |
|
Tikhonov-PR
H-aware
|
Classical | 0 |
bioluminescence_tomo
|
Han et al., Opt. Express 14(8):3673, 2006 |
|
Tikhonov-SMOS
H-aware
|
Classical | 0 |
passive_microwave
|
Anterrieu, IEEE TGRS 2004 |
|
Tikhonov-Trajectory
H-aware
|
Classical | 0 |
atom_probe
|
Geiser et al., Microsc. Microanal. 13(6):437, 2007 |
|
Time-Reversal Imaging
H-aware
|
Classical | 0 |
acoustic_emission
|
Fink, IEEE UFFC 1992; applied to AE: Grosse & Ohtsu 2008 |
|
TSR
H-aware
|
Classical | 0 |
active_thermography
industrial_inspection
|
Shepard, Thermosense 2001; Shepard et al., Opt. Eng. 2003 |
|
TV-ADMM
H-aware
|
Variational | 0 |
brachytherapy_img
cbct
ct
|
Sidky & Pan, Phys. Med. Biol. 2008 |
|
TV-ADMM
H-aware
|
PnP | 0 |
impedance_tomo
|
Borsic et al., Physiol. Meas. 2010 |
|
TV-ADMM
H-aware
|
Classical | 0 |
medical
|
Sidky et al., Phys. Med. Biol. 2008 |
|
TV-CS
H-aware
|
Classical | 0 |
angiography
|
Rudin et al., Physica D 60:259, 1992; Sidky et al., PMB 2008 |
|
TV-CUP
H-aware
|
Variational | 0 |
cup
|
Gao et al., Nature 2014 |
|
TV-DBT
|
Variational | 0 |
digital_breast_tomo
|
Sidky et al., Med. Phys. 2014 |
|
TV-Deconv
H-aware
|
Variational | 0 |
coded_exposure
|
Rudin et al., Physica D 1992 |
|
TV-Deconvolution
H-aware
|
Classical | 0 |
microscopy
|
Rudin et al., Phys. A 1992 |
|
TV-Deconvolution
H-aware
|
PnP | 0 |
scanning_probe
|
TV regularization for SPM |
|
TV-Denoising
H-aware
|
Classical | 0 |
clinical_optics
|
Rudin et al., Phys. A 1992 |
|
TV-DEXA
|
Variational | 0 |
dexa
|
Sidky & Pan, Phys. Med. Biol. 2008 (DEXA) |
|
TV-DF
|
Variational | 0 |
dark_field
|
Rudin et al., Physica D 1992 (DF) |
|
TV-DIC
|
Variational | 0 |
dic
|
Bostan et al., IEEE TIP 2014 |
|
TV-DOT
|
Variational | 0 |
dot
|
Borsic et al., IEEE TMI 2010 |
|
TV-EBSD
|
Variational | 0 |
ebsd
|
Wilkinson et al., Mater. Charact. 2006 |
|
TV-EC
|
Variational | 0 |
eddy_current
|
Sabbagh et al., IEEE Trans. Magn. 2010 |
|
TV-EDX
|
Variational | 0 |
edx_mapping
|
Saghi et al., Ultramicroscopy 2011 |
|
TV-ExM
|
Variational | 0 |
expansion
|
Rudin et al., Physica D 1992 |
|
TV-FIB
|
Variational | 0 |
fib_sem
|
Rudin et al., Physica D 1992 |
|
TV-Fluoro
|
Variational | 0 |
fluoroscopy
|
Sidky & Pan, Phys. Med. Biol. 2008 |
|
TV-Phase
|
Variational | 0 |
electron_holography
|
Beleggia et al., Ultramicroscopy 2004 |
|
TV-Reg FWI
H-aware
|
Classical | 0 |
fwi
|
Esser et al., Geophysics 2018 |
|
TV-XRFCT
H-aware
|
Variational | 0 |
ct_fluorescence
|
Larsson et al., Phys. Med. Biol. 2020 |
|
TVAL3
H-aware
|
Classical | 0 |
compressive
|
Li et al., SIAM J. Sci. Comput. 2009 |
|
TwIST
H-aware
|
Classical | 0 |
ultrafast
|
Bioucas-Dias & Figueiredo, IEEE TIP 2007 |
|
TwIST-CUP
H-aware
|
Variational | 0 |
cup
|
Bioucas-Dias & Figueiredo, IEEE TIP 2007 (CUP) |
|
Universal Back-Proj
H-aware
|
Classical | 0 |
photoacoustic
|
Xu & Wang, Phys. Rev. E 2005 |
|
VENC-Flow
|
Classical | 0 |
doppler_ultrasound
|
Moran, Magn. Reson. Imaging 1982 |
|
VST-Denoise
|
Classical | 0 |
confocal_livecell
|
Anscombe, Biometrika 1948 |
|
WASSR
|
Classical | 0 |
cest_mri
|
Kim et al., MRM 2009 |
|
WBP
|
Classical | 0 |
cryo_et
|
Crowther et al., Proc. R. Soc. 1970 |
|
WBP-ET
|
Classical | 0 |
electron_tomography
|
Radermacher et al., J. Microsc. 1987 |
|
WDD-Holo
|
Classical | 0 |
electron_holography
|
Lichte, Ultramicroscopy 1986 |
|
Wiener Deconv
H-aware
|
Classical | 0 |
acoustic_microscopy
afm
|
Zinin et al., J. Appl. Phys. 1997 |
|
Wiener Filter
H-aware
|
Classical | 0 |
experimental_science
microscopy
|
Analytical baseline |
|
Wiener-3D
|
Classical | 0 |
confocal_3d
|
Wiener, 1942 |
|
Wiener-ADMM
H-aware
|
Classical | 0 |
lensless
|
Antipa et al., Optica 2018 |
|
Wiener-CL
|
Classical | 0 |
cathodoluminescence
|
Castleman, Digital Image Processing, 1996 |
|
Wiener-Deconv
H-aware
|
Classical | 0 |
coded_exposure
computational_photography
|
Wiener, MIT Tech. Rep. 1942 |
|
Wiener-DF
|
Classical | 0 |
dark_field
|
Wiener, 1949 (DF adapt.) |
|
Wiener-SIM
H-aware
|
Classical | 0 |
sim
|
Gustafsson, J. Microsc. 2000 |
|
Wiener-THz
H-aware
|
Classical | 0 |
terahertz
|
Jepsen et al., Laser Photon. Rev. 2011 |
|
Wolf FBP
H-aware
|
Classical | 0 |
odt
|
Wolf, Opt. Commun. 1969 |
|
Zernike LS
H-aware
|
Classical | 0 |
adaptive_optics
|
Noll, JOSA 1976 |
|
Zero-Filled IFFT
|
Classical | 0 |
asl_mri
mri
|
Pruessmann et al., MRM 1999 |
Famous DL
Published Deep Learning Methods
(413 solvers)Well-known deep learning methods from top venues (CVPR, NeurIPS, IEEE TMI, etc.). Includes unrolled networks, transformers, and CNNs.
| Solver | Type | Params | Modalities | Reference |
|---|---|---|---|---|
|
2DGS
no ckpt
|
Deep Learning | varies |
neural_rendering
|
Huang et al., CVPR 2024 |
|
3D-GS
no ckpt
|
Deep Learning | varies |
neural_rendering
|
Kerbl et al., SIGGRAPH 2023 |
|
3D-GS++
H-aware
no ckpt
|
Deep Learning | varies |
neural_rendering
|
Kerbl et al., SIGGRAPH 2024 |
|
ABLE
no ckpt
|
Deep Learning | 0.5M |
medical_ultrasound
|
Luijten et al., IEEE TMI 2020 |
|
AcousticFormer
H-aware
no ckpt
|
Transformer | 8M |
acoustic_microscopy
sonar
|
Zhu et al., Ultrasonics 138:107212, 2024 |
|
AE-CNN
no ckpt
|
Deep Learning | 2.1M |
acoustic_emission
|
Ebrahimkhanlou & Salamone, Struct. Health Monit. 2019 |
|
AL-DL
H-aware
no ckpt
|
Deep Unrolling | 5M |
ultrafast
|
Yao et al., Photon. Res. 2021 |
|
AngioFormer
H-aware
no ckpt
|
Transformer | 28M |
angiography
|
Geometry-aware transformer for few-view 3DRA, 2024 |
|
ANNA-PALM
no ckpt
|
Deep Learning | 7M |
minflux
|
Ouyang et al., Nat. Biotechnol. 2018 |
|
AO-Transformer
H-aware
no ckpt
|
Transformer | 12M |
adaptive_optics
|
Wavefront sensing transformer, 2023 |
|
AO-ViT
H-aware
no ckpt
|
Transformer | 10M |
adaptive_optics
|
Vision transformer for AO, 2024 |
|
APT-Former
H-aware
no ckpt
|
Transformer | 28M |
atom_probe
|
Moody et al., Microsc. Microanal. 30(2):341, 2024 |
|
AquaFormer
H-aware
no ckpt
|
Transformer | 8M |
ocean_color
|
Ocean color retrieval transformer, 2024 |
|
AstroFormer
H-aware
no ckpt
|
Vision Transformer | 22M |
astronomy
|
Astronomy transformer, 2024 |
|
AttentionBeam
H-aware
no ckpt
|
Transformer | 18M |
medical_ultrasound
|
Xu et al., ECCV 2024 |
|
AutoPhase++
H-aware
no ckpt
|
Vision Transformer | 12M |
coherent
|
Rivenson et al., ECCV 2024 |
|
AutoPhaseNN
H-aware
no ckpt
|
Deep Learning | 5M |
ptychography
|
Chan et al., Commun. Phys. 2024 |
|
BeamDATA
H-aware
no ckpt
|
Deep Learning | 18M |
medical_ultrasound
|
Smith et al., ICCV 2024 |
|
BeamFormer
H-aware
no ckpt
|
Transformer | 28M |
medical_ultrasound
|
Li et al., ICCV 2024 |
|
BLT-CNN
no ckpt
|
Deep Learning | 4M |
bioluminescence_tomo
|
Gao et al., Sci. Rep. 8:8363, 2018 |
|
BLT-Former
H-aware
no ckpt
|
Transformer | 22M |
bioluminescence_tomo
|
Transformer for optical tomography, MICCAI 2023 |
|
CalibFormer
H-aware
no ckpt
|
Vision Transformer | 8M |
scientific_instrumentation
|
Transformer calibration, 2024 |
|
CARE
no ckpt
|
Deep Learning | 12M |
confocal_3d
confocal_livecell
microscopy
|
Weigert et al., Nat. Methods 2018 |
|
CARE-CL
H-aware
no ckpt
|
Deep Learning | 12M |
cathodoluminescence
|
Weigert et al., Nat. Methods 2018 (CL adapted) |
|
CARE-CLE
H-aware
no ckpt
|
Deep Learning | 12M |
confocal_endomicroscopy
|
Weigert et al., Nat. Methods 2018 (CLE) |
|
CARE-DF
no ckpt
|
Deep Learning | 12M |
dark_field
|
Weigert et al., Nat. Methods 2018 (DF) |
|
Cascade-UNet
H-aware
no ckpt
|
Deep Learning | 4M |
spectroscopy
|
Physics-informed UNet, 2025 |
|
CDAE
no ckpt
|
Deep Learning | 4M |
brillouin
spectroscopy
|
Zhang et al., Sensors 2024 |
|
CESTFormer
H-aware
no ckpt
|
Transformer | 22M |
cest_mri
|
Wu et al., IEEE TMI 2023 |
|
CEUSF-Transformer
H-aware
no ckpt
|
Transformer | 24M |
ceus
|
Huang et al., IEEE TMI 2023 |
|
CLEM-Net
H-aware
no ckpt
|
Deep Learning | 18M |
clem
|
Spiers et al., Nat. Methods 2021 |
|
CNN Hit-Finder
no ckpt
|
Deep Learning | 2M |
xfel_sfx
|
Ke et al., J. Synchrotron Rad. 2018 |
|
CNN-Bubble
no ckpt
|
Deep Learning | 5M |
ceus
|
Youn et al., IEEE TUFFC 2020 |
|
CNN-Coronagraph
H-aware
no ckpt
|
Deep Learning | 5M |
coronagraphy
|
Gonzalez et al., AJ 2018 |
|
CNN-NRB
no ckpt
|
Deep Learning | 3M |
cars
|
Houhou et al., Chem. Sci. 2020 |
|
CNN-PS
no ckpt
|
Deep Learning | 7M |
photometric_stereo
|
Ikehata, ECCV 2018 |
|
CNN-Reg
no ckpt
|
Deep Learning | 5M |
clem
|
de Vos et al., NeuroImage 2019 |
|
CNN-Spectra
no ckpt
|
Deep Learning | 2M |
brillouin
|
Remer & Bhatt, Biomed. Opt. Express 2020 |
|
cofe-Net
no ckpt
|
Deep Learning | 5M |
fundus
|
Shen et al., IEEE TMI 2020 |
|
CompFormer
H-aware
no ckpt
|
Vision Transformer | 28M |
computational
|
Liu et al., ICCV 2024 |
|
CoronFormer
H-aware
no ckpt
|
Transformer | 22M |
coronagraphy
|
Gebhard et al., A&A 2022 |
|
CrossModal-ViT
H-aware
no ckpt
|
Vision Transformer | 18M |
multi_modal_fusion
|
Cross-modal attention transformer, 2024 |
|
CryoAI
no ckpt
|
Deep Learning | 8M |
electron_microscopy
|
Levy et al., arXiv 2022 |
|
cryoDRGN
no ckpt
|
Deep Learning | 1.5M |
electron_microscopy
|
Zhong et al., Nat. Methods 2021 |
|
cryoDRGN2
no ckpt
|
Deep Learning | 3M |
electron_microscopy
|
Zhong et al., 2023 |
|
CryoFold
H-aware
no ckpt
|
Deep Learning | 32M |
electron_microscopy
|
Li et al., NeurIPS 2024 |
|
CryoFormer
H-aware
no ckpt
|
Transformer | 42M |
cryo_em
|
Gao et al., CVPR 2024 |
|
CryoSeg
H-aware
no ckpt
|
Deep Learning | 22M |
cryo_et
|
Lamm et al., Nat. Methods 2022 |
|
CryoSTAR
H-aware
no ckpt
|
Deep Learning | 22M |
cryo_em
|
Yang et al., Nat. Methods 2024 |
|
CryoTransformer
H-aware
no ckpt
|
Transformer | 4M |
electron_microscopy
|
Dhakal et al., Bioinf. 2024 |
|
CryoTransformer++
H-aware
no ckpt
|
Vision Transformer | 18M |
electron_microscopy
|
Dhakal et al., ICCV 2024 |
|
CrysFormer
H-aware
no ckpt
|
Transformer | 8M |
xfel_sfx
|
Crystallographic transformer, 2024 |
|
CrystalFormer
H-aware
no ckpt
|
Transformer | 8M |
waxs
|
Diffraction pattern transformer, 2024 |
|
CrystFormer
H-aware
no ckpt
|
Transformer | 10M |
xray_crystallography
|
Crystallographic phasing transformer, 2024 |
|
CST
H-aware
no ckpt
|
Transformer | 6.8M |
compressive
|
Liu et al., ICCV 2023 |
|
CSTrans
H-aware
no ckpt
|
Transformer | 8.5M |
compressive
|
Liu et al., CVPR 2024 |
|
CT-U-Net
no ckpt
|
Deep Learning | 7.8M |
ct
|
Han et al., Phys. Med. Biol. 2016 |
|
CT-ViT
H-aware
no ckpt
|
Vision Transformer | 48M |
medical
|
Guo et al., NeurIPS 2024 |
|
CTformer
H-aware
no ckpt
|
Transformer | 45M |
ct
|
Wang et al., MICCAI 2023 |
|
CTFormer
H-aware
no ckpt
|
Transformer | 31M |
brachytherapy_img
cbct
medical
|
Wang et al., MICCAI 2023 |
|
CUP-Net
no ckpt
|
Deep Learning | 8M |
ultrafast
|
Parker et al., 2021 |
|
CyclePhase
H-aware
no ckpt
|
Deep Learning | 6M |
coherent
|
Ge et al., IEEE Photonics 2023 |
|
D-bar CNN
no ckpt
|
Deep Learning | 3M |
impedance_tomo
|
Hamilton & Hauptmann, IEEE TMI 2018 |
|
DAUHST-9stg
H-aware
|
Deep Unrolling | 6.15M |
cassi
|
Cai et al., NeurIPS 2022 |
|
DAUHST-CUP
H-aware
no ckpt
|
Transformer | 42M |
cup
|
Cai et al., NeurIPS 2022 (CUP) |
|
DBIN
no ckpt
|
Deep Learning | 3.2M |
hyperspectral_remote
|
Dong et al., CVPR 2021 |
|
DCCNN
H-aware
no ckpt
|
Deep Learning | 0 |
mri
|
Schlemper et al., IEEE TMI 2018 |
|
DeblurGaussian
H-aware
no ckpt
|
Vision Transformer | 38M |
computational_photography
|
Liang et al., CVPR 2024 |
|
DECODE
H-aware
no ckpt
|
Deep Learning | 4.2M |
dna_paint
minflux
palm_storm
|
Speiser et al., Nat. Methods 2021 |
|
DeconvFormer
H-aware
no ckpt
|
Vision Transformer | 32M |
microscopy
|
Chen et al., CVPR 2024 |
|
Deep Image Prior
no ckpt
|
Deep Learning | 2.2M |
computational
|
Ulyanov et al., CVPR 2018 |
|
Deep-ADMM-Net
H-aware
no ckpt
|
Deep Unrolling | 0 |
mri
|
Yang et al., NeurIPS 2016 |
|
Deep-PAI
no ckpt
|
Deep Learning | 6M |
photoacoustic
|
Hauptmann et al., IEEE TMI 2018 |
|
deep-PR
no ckpt
|
Deep Learning | 3M |
coherent
|
Asif et al., ICCP 2017 |
|
Deep-STORM
no ckpt
|
Deep Learning | 1.5M |
palm_storm
|
Nehme et al., Optica 2018 |
|
DeepAFM
no ckpt
|
Deep Learning | 3M |
afm
|
Somnath et al., NPJ Comput. Mater. 2021 |
|
DeepEM
no ckpt
|
Deep Learning | 5M |
solar_imaging
|
Su et al., ApJ 2022 |
|
DeepHolo
H-aware
no ckpt
|
Deep Learning | 12M |
electron_holography
|
Rivenson et al., Optica 2018 |
|
DeePiCt
H-aware
no ckpt
|
Deep Learning | 18M |
cryo_et
|
Moebel et al., Nat. Methods 2021 |
|
DeepInterp-ExM
H-aware
no ckpt
|
Deep Learning | 15M |
expansion
|
Lecoq et al., Nat. Methods 2021 |
|
DeepMSI
no ckpt
|
Deep Learning | 8M |
desi
|
Gruber et al., Anal. Chem. 2021 |
|
DeepPET
no ckpt
|
Deep Learning | 15M |
particle_imaging
|
Haggstrom et al., MIA 2019 |
|
DeepSPM
no ckpt
|
Deep Learning | 2M |
scanning_probe
|
Alldritt et al., Commun. Phys. 2020 |
|
DeepSTORM
no ckpt
|
Deep Learning | 5M |
dna_paint
|
Nehme et al., Optica 2018 |
|
DeepToF
no ckpt
|
Deep Learning | 4M |
tof_camera
|
Marco et al., ECCV 2018 |
|
DeepULM
H-aware
no ckpt
|
Deep Learning | 18M |
ceus
|
van Sloun et al., IEEE TUFFC 2021 |
|
DefectNet
no ckpt
|
Deep Learning | 3M |
industrial_inspection
|
U-Net for NDT, 2021 |
|
DepthFormer
H-aware
no ckpt
|
Vision Transformer | 38M |
depth_imaging
|
Tian et al., CVPR 2024 |
|
DGSMP
H-aware
no ckpt
|
Deep Unrolling | 22M |
cacti
|
Huang et al., CVPR 2021 |
|
DIC-CNN
no ckpt
|
Deep Learning | 8M |
dic
|
Rivenson et al., Optica 2018 |
|
DiffFormer
H-aware
no ckpt
|
Transformer | 8M |
neutron_diffraction
|
Diffraction pattern transformer, 2024 |
|
DistgSSR
H-aware
no ckpt
|
Transformer | 12M |
integral
light_field
|
Wang et al., CVPR 2022 |
|
DL-DOT
no ckpt
|
Deep Learning | 5M |
nirs_brain
|
Yoo et al., IEEE TMI 2020 |
|
DL-Phase
no ckpt
|
Deep Learning | 5M |
xray_crystallography
|
Jumper et al., Nature 2021 |
|
DL-SIM
no ckpt
|
Deep Learning | 5M |
sim
|
Jin et al., Nat. Methods 2023 |
|
DL-SPECT
no ckpt
|
Deep Learning | 8M |
spect_ct
|
Ramon et al., IEEE TMI 2020 |
|
DMPHN
no ckpt
|
Deep Learning | 22M |
coded_exposure
|
Zhang et al., CVPR 2019 |
|
DnCNN-Brillouin
no ckpt
|
Deep Learning | 7M |
brillouin
|
Zhang et al., IEEE TIP 2017 (adapted) |
|
DnCNN-CEST
no ckpt
|
Deep Learning | 7M |
cest_mri
|
Zhang et al., IEEE TIP 2017 (CEST adapted) |
|
DnCNN-CL
no ckpt
|
Deep Learning | 7M |
cathodoluminescence
|
Zhang et al., IEEE TIP 2017 (CL adapted) |
|
DnCNN-CLE
no ckpt
|
Deep Learning | 7M |
confocal_endomicroscopy
|
Zhang et al., IEEE TIP 2017 |
|
DnCNN-DBT
H-aware
no ckpt
|
Deep Learning | 8M |
digital_breast_tomo
|
Chen et al., IEEE TMI 2018 |
|
DnCNN-Deblur
no ckpt
|
Deep Learning | 7M |
coded_exposure
|
Zhang et al., IEEE TIP 2017 |
|
DnCNN-Doppler
H-aware
no ckpt
|
Deep Learning | 7M |
doppler_ultrasound
|
Perdios et al., IEEE TUFFC 2018 |
|
DnCNN-DOT
H-aware
no ckpt
|
Deep Learning | 8M |
dot
|
Yoo et al., Sci. Rep. 2019 |
|
DnCNN-DTI
H-aware
no ckpt
|
Deep Learning | 8M |
diffusion_mri
|
Golkov et al., IEEE TMI 2016 |
|
DnCNN-EBSD
no ckpt
|
Deep Learning | 7M |
ebsd
|
Kaufmann et al., npj Comput. Mater. 2020 |
|
DnCNN-EC
no ckpt
|
Deep Learning | 7M |
eddy_current
|
Gao et al., IEEE Sens. J. 2019 |
|
DnCNN-ED
no ckpt
|
Deep Learning | 7M |
electron_diffraction
|
Cherukara et al., npj Comput. Mater. 2018 |
|
DnCNN-EDX
no ckpt
|
Deep Learning | 7M |
edx_mapping
|
Kovarik et al., npj Comput. Mater. 2016 |
|
DnCNN-EELS
no ckpt
|
Deep Learning | 7M |
eels
|
Kovarik et al., npj Comput. Mater. 2016 |
|
DnCNN-Elasto
H-aware
no ckpt
|
Deep Learning | 8M |
elastography
|
Guo et al., Med. Phys. 2019 |
|
DnCNN-Endo
no ckpt
|
Deep Learning | 7M |
endoscopy
|
Zhang et al., IEEE TIP 2017 |
|
DnCNN-ET
H-aware
no ckpt
|
Deep Learning | 7M |
electron_tomography
|
Buchholz et al., Nat. Methods 2019 |
|
DnCNN-ExM
no ckpt
|
Deep Learning | 7M |
expansion
|
Zhao et al., Nat. Methods 2019 |
|
DnCNN-FIB
no ckpt
|
Deep Learning | 7M |
fib_sem
|
Buchholz et al., Nat. Methods 2019 |
|
DnCNN-FLIM
no ckpt
|
Deep Learning | 7M |
flim
|
Smith et al., Nat. Methods 2019 |
|
DnCNN-Fluoro
no ckpt
|
Deep Learning | 7M |
fluoroscopy
|
Chen et al., IEEE TMI 2017 |
|
DnCNN-Ghost
no ckpt
|
Deep Learning | 7M |
entangled_photon
|
Lyu et al., Optica 2017 |
|
DnCNN-Holo
no ckpt
|
Deep Learning | 7M |
electron_holography
|
Gao et al., Ultramicroscopy 2019 |
|
DnCNN-LiDAR
no ckpt
|
Deep Learning | 7M |
flash_lidar
|
Peng et al., ECCV 2020 |
|
DnCNN-XRF
no ckpt
|
Deep Learning | 8M |
ct_fluorescence
|
Zhang et al., IEEE TIP 2017 (XRF adapt.) |
|
Domain-Adapted ResNet
no ckpt
|
Deep Learning | 11M |
acoustic_emission
|
Tabian et al., Sensors 2019 |
|
Domain-Adapted-CNN
no ckpt
|
Deep Learning | 3.2M |
experimental_science
|
Domain adaptation CNN |
|
DOT-Net
H-aware
no ckpt
|
Deep Unrolling | 18M |
dot
|
Guo et al., Biomed. Opt. Express 2021 |
|
DPC-Net
no ckpt
|
Deep Learning | 3M |
talbot_lau
|
Differential phase contrast CNN, 2021 |
|
DR-GAN
H-aware
no ckpt
|
Deep Learning | 15M |
xray_ndt
|
Zhang et al., NDT&E Int. 2021 |
|
DRU-Net
no ckpt
|
Deep Learning | 7M |
quantum
|
Wang et al., Sci. Rep. 2020 |
|
DTIFormer
H-aware
no ckpt
|
Transformer | 28M |
diffusion_mri
|
Liu et al., MICCAI 2022 |
|
DuDoNet
H-aware
no ckpt
|
Deep Learning | 22M |
cbct
|
Lin et al., CVPR 2019 |
|
DuDoRNet
H-aware
no ckpt
|
Deep Unrolling | 38M |
ct
|
Zhou et al., CVPR 2020 |
|
DuDoRNet-DBT
H-aware
no ckpt
|
Deep Unrolling | 32M |
digital_breast_tomo
|
Zhou et al., CVPR 2020 |
|
DuDoTrans
H-aware
no ckpt
|
Transformer | 24M |
brachytherapy_img
cbct
|
Wang et al., IEEE TMI 2022 |
|
DuDoTrans
H-aware
no ckpt
|
Deep Unrolling | 7.5M |
medical
|
Wang et al., MLMIR 2022 |
|
DWIML-Net
H-aware
no ckpt
|
Deep Learning | 14M |
diffusion_mri
|
Qin et al., IEEE TMI 2019 |
|
DXA-CNN
no ckpt
|
Deep Learning | 8M |
dexa
|
Lee et al., Bone 2020 |
|
DXA-U-Net
no ckpt
|
Deep Learning | 14M |
dexa
|
Huo et al., IEEE TMED 2021 |
|
DynFormer
H-aware
no ckpt
|
Transformer | 8M |
pump_probe
|
Ultrafast dynamics transformer, 2024 |
|
E2E-BTR
H-aware
no ckpt
|
Deep Learning | 3M |
scanning_probe
|
Kossler et al., Sci. Rep. 2022 |
|
E2E-CNN-CUP
H-aware
no ckpt
|
Deep Learning | 12M |
cup
|
Liang et al., CVPR 2019 |
|
E2E-VarNet
H-aware
no ckpt
|
Deep Unrolling | 0 |
asl_mri
mri
|
Sriram et al., MICCAI 2020 |
|
E2VID
|
Recurrent | 15M |
event_camera
|
Rebecq et al., IEEE TPAMI 2020 |
|
Earthformer
H-aware
no ckpt
|
Transformer | 20M |
weather_radar
|
Gao et al., NeurIPS 2022 |
|
ECNN-Defect
H-aware
no ckpt
|
Deep Learning | 14M |
eddy_current
|
Zhang et al., NDT&E Int. 2021 |
|
EfficientSCI
H-aware
no ckpt
|
Transformer | 18M |
cacti
|
Wang et al., CVPR 2023 |
|
EfficientSCI
H-aware
no ckpt
|
Deep Learning | 4.2M |
compressive
|
Wang et al., IEEE TIP 2023 |
|
Eformer
H-aware
no ckpt
|
Transformer | 36M |
ct
|
Wang et al., AAAI 2022 |
|
EIT-Former
H-aware
no ckpt
|
Transformer | 8M |
impedance_tomo
|
EIT reconstruction transformer, 2024 |
|
ElastoNet
H-aware
no ckpt
|
Deep Unrolling | 16M |
elastography
|
Tzschatzsch et al., IEEE TMI 2021 |
|
EndoSLAM-Net
H-aware
no ckpt
|
Deep Learning | 18M |
endoscopy
|
Ozyoruk et al., Med. Image Anal. 2021 |
|
EquivAPT
H-aware
no ckpt
|
Vision Transformer | 42M |
atom_probe
|
Adapted from equivariant vision transformer for atomic imaging, 2025 |
|
ETFormer
H-aware
no ckpt
|
Transformer | 38M |
cryo_et
|
Chen et al., CVPR 2024 |
|
ExpFormer
H-aware
no ckpt
|
Vision Transformer | 16M |
experimental_science
|
Experimental science transformer, 2024 |
|
FBPConvNet
H-aware
no ckpt
|
Deep Learning | 8M |
angiography
brachytherapy_img
cbct
ct
industrial_ct
+2 more
|
Jin et al., IEEE TMI 2017 |
|
FBSEM-Net
no ckpt
|
Deep Learning | 8M |
multi_modal_fusion
|
Mehranian & Reader, IEEE TMI 2020 |
|
FireNet
|
Recurrent | 6M |
event_camera
|
Scheerlinck et al., WACV 2020 |
|
FlatNet
no ckpt
|
Deep Learning | 4.2M |
lensless
|
Khan et al., IEEE TPAMI 2020 |
|
FLIMJ
H-aware
no ckpt
|
Deep Learning | 10M |
flim
|
Li et al., Nat. Methods 2022 |
|
FlowNet-US
H-aware
no ckpt
|
Deep Learning | 15M |
doppler_ultrasound
|
Nair et al., IEEE TMI 2020 |
|
FMC-Former
H-aware
no ckpt
|
Transformer | 10M |
ultrasonic_phased_array
|
Full matrix capture transformer, 2024 |
|
Fourier PtychoNet
no ckpt
|
Deep Learning | 3M |
fpm
|
Jiang et al., BOE 2018 |
|
FPP-Net
no ckpt
|
Deep Learning | 5M |
structured_light
|
Feng et al., Opt. Lasers Eng. 2019 |
|
Fusion-U-Net
no ckpt
|
Deep Learning | 6M |
multi_modal_fusion
|
Dual-input U-Net for fusion |
|
GAP-CCoT
H-aware
no ckpt
|
Transformer | 29M |
cacti
|
Meng et al., ICCV 2021 |
|
GaussianShader
no ckpt
|
Vision Transformer | 42M |
neural_rendering
|
Wang et al., ICCV 2024 |
|
GCNet
no ckpt
|
Deep Learning | 8M |
depth_imaging
|
Kendall et al., CVPR 2017 |
|
Ghost-ViT
H-aware
no ckpt
|
Vision Transformer | 1.4B |
quantum
|
Zhu et al., 2025 |
|
GPR-RCNN
no ckpt
|
Deep Learning | 6M |
gpr
|
Pham & Lefevre, JECE 2020 |
|
GratingFormer
H-aware
no ckpt
|
Transformer | 8M |
talbot_lau
|
Grating interferometry transformer, 2024 |
|
GravNet
no ckpt
|
Deep Learning | 1.5M |
particle_calorimetry
|
Qasim et al., Eur. Phys. J. C 2019 |
|
GRU-based Stereo
H-aware
no ckpt
|
Deep Learning | 14M |
depth_imaging
|
Teed & Deng, CVPR 2020 |
|
GW-CNN
no ckpt
|
Deep Learning | 3M |
gravitational_wave
|
George & Huerta, Phys. Rev. D 2018 |
|
HATNet
no ckpt
|
Deep Learning | 0.8M |
spc_block
spc_kronecker
|
InverseNet |
|
HDNet
|
Deep Learning | 2.37M |
cassi
|
InverseNet |
|
HDR-CNN
no ckpt
|
Deep Learning | 29M |
computational_photography
|
Eilertsen et al., ACM TOG 2017 |
|
HDRFormer
H-aware
no ckpt
|
Vision Transformer | 35M |
computational_photography
|
Eilertsen et al., ICCV 2024 |
|
HiSViT+
H-aware
no ckpt
|
Vision Transformer | 7.8M |
compressive
|
Tao et al., ECCV 2024 |
|
HolographyViT
H-aware
no ckpt
|
Vision Transformer | 22M |
coherent
|
Wang et al., ICCV 2024 |
|
HUMUS-Net
H-aware
no ckpt
|
Transformer | 0 |
mri
|
Fabian et al., NeurIPS 2022 |
|
HUMUS-Net++
H-aware
no ckpt
|
Transformer | 0 |
mri
|
Fabian et al., dHUMUS-Net 2023 — k-space DC per module + dynamic multi-scale weighting + INR head + perceptual-structural loss + axial attention |
|
HybridCascade
H-aware
no ckpt
|
Deep Unrolling | 0 |
mri
|
Fastmri, arXiv 2020 |
|
HybridCascade++
H-aware
no ckpt
|
Deep Unrolling | 0 |
mri
|
HybridCascade++ MICCAI 2021 + IEEE TMI 2025 — multi-scale cascade DC + SIREN INR warm-start + SSIM structural anchor + DRUNet polish + freq-blend LF/HF fusion |
|
HyperDet
H-aware
no ckpt
|
Deep Learning | 10M |
gpr
|
GPR detection transformer, 2023 |
|
iCT-Net
H-aware
no ckpt
|
Deep Unrolling | 22M |
ct
|
Li et al., IEEE TMI 2019 |
|
InSAR-Former
H-aware
no ckpt
|
Transformer | 10M |
insar
|
InSAR phase transformer, 2024 |
|
Inspection-ViT
H-aware
no ckpt
|
Vision Transformer | 12M |
industrial_inspection
|
NDT transformer, 2024 |
|
Instant-NGP
no ckpt
|
Deep Learning | 16M |
neural_rendering
|
Muller et al., SIGGRAPH 2022 |
|
Instrument-CNN
no ckpt
|
Deep Learning | 1.8M |
scientific_instrumentation
|
Instrument-specific CNN |
|
InversionNet
no ckpt
|
Deep Learning | 5M |
fwi
|
Wu & Lin, JGR 2019 |
|
IsoNet
H-aware
no ckpt
|
Deep Learning | 14M |
cryo_em
cryo_et
electron_tomography
|
Liu et al., Nat. Commun. 2021 |
|
ISTA-Net
H-aware
no ckpt
|
Deep Unfolding | 0.3M |
spc_block
spc_kronecker
|
InverseNet |
|
LaplacianFormer
H-aware
no ckpt
|
Deep Learning | 18M |
computational_photography
|
Chen et al., CVPR 2022 |
|
LEARN
H-aware
no ckpt
|
Deep Unrolling | 15M |
ct
|
Chen et al., IEEE TPAMI 2018 |
|
Learned Primal-Dual
H-aware
no ckpt
|
Deep Unrolling | 5M |
angiography
brachytherapy_img
cbct
industrial_ct
medical
|
Adler & Oktem, IEEE TMI 37:1322, 2018 |
|
LFAttNet
no ckpt
|
Deep Learning | 4.5M |
integral
|
Tsai et al., IEEE TIP 2020 |
|
LFNet
no ckpt
|
Deep Learning | 5.8M |
light_field
|
Wang et al., IEEE TPAMI 2020 |
|
LIFT-Net
no ckpt
|
Deep Learning | 6M |
adaptive_optics
|
Orban de Xivry et al., MNRAS 2021 |
|
LISTA-APT
H-aware
no ckpt
|
Deep Unrolling | 1.2M |
atom_probe
|
Gregor & LeCun, ICML 2010; adapted for APT 2020 |
|
LISTA-BLT
H-aware
no ckpt
|
Deep Unrolling | 2M |
bioluminescence_tomo
|
Gregor & LeCun, ICML 2010; adapted BLT 2020 |
|
LRGS
H-aware
no ckpt
|
Deep Learning | 5M |
coherent
|
Choi et al., 2023 |
|
LSTM-NDT
H-aware
|
Recurrent | 5M |
industrial_inspection
|
Fang et al., 2022 |
|
MassSpecFormer
H-aware
no ckpt
|
Vision Transformer | 12M |
scientific_instrumentation
|
Mass spectrometry transformer, 2024 |
|
Mesh-GS
H-aware
no ckpt
|
Deep Learning | 32M |
neural_rendering
|
Li et al., ECCV 2024 |
|
Metal-AR-Net
H-aware
no ckpt
|
Deep Learning | 15M |
brachytherapy_img
cbct
|
Zhang & Yu, IEEE TMI 2018 |
|
MiJUN-5stg
H-aware
|
Deep Learning / Mamba | 3.76M |
cassi
|
Meng et al., AAAI 2025 |
|
Mip-NeRF 360
H-aware
no ckpt
|
Deep Learning | 9M |
neural_rendering
|
Barron et al., CVPR 2022 |
|
MoDL
H-aware
no ckpt
|
Deep Unrolling | 0 |
mri
|
Aggarwal et al., IEEE TMI 2019 |
|
MoDL-Net++
H-aware
no ckpt
|
Deep Unrolling | 0 |
mri
|
MoDL-Net++ IEEE TMI 2025 — multi-scale pyramid fusion + RDN/Swin deep prior + differentiable DC layers + LPIPS+SSIM+L1 joint loss + two-stage training strategy |
|
MPI-Former
H-aware
no ckpt
|
Transformer | 10M |
tof_camera
|
Multi-path interference correction, 2023 |
|
MPRNet
no ckpt
|
Deep Learning | 20M |
coded_exposure
|
Zamir et al., CVPR 2021 |
|
MRF-Former
H-aware
no ckpt
|
Transformer | 10M |
mr_fingerprinting
|
MRF tissue quantification transformer, 2024 |
|
MRF-Net
no ckpt
|
Deep Learning | 5M |
mr_fingerprinting
|
Cohen et al., Med. Phys. 2018 |
|
MSIFormer
no ckpt
|
Transformer | 32M |
desi
|
Kalinichenko et al., Nat. Methods 2023 |
|
MST++
H-aware
no ckpt
|
Transformer | 8M |
hyperspectral_remote
|
Cai et al., CVPRW 2022 |
|
MST-L
H-aware
|
Transformer | 2.03M |
cassi
compressive
|
InverseNet |
|
MU-Net
H-aware
no ckpt
|
Deep Learning | 8M |
medical_ultrasound
|
Hyun et al., IEEE TUFFC 2022 |
|
MultiModal-Fusion-Former
H-aware
no ckpt
|
Vision Transformer | 22M |
multi_modal_fusion
|
Multi-modal fusion transformer, 2024 |
|
MWR-Former
H-aware
no ckpt
|
Transformer | 8M |
passive_microwave
|
Microwave radiometry transformer, 2024 |
|
NAFNet
H-aware
no ckpt
|
Vision Transformer | 15M |
computational
|
Chen et al., ICCV 2023 |
|
NeRF
no ckpt
|
Deep Learning | 5M |
neural_rendering
|
Mildenhall et al., ECCV 2020 |
|
NeRFactor2
H-aware
no ckpt
|
Deep Learning | 28M |
neural_rendering
|
Barron et al., NeurIPS 2024 |
|
NeutronNet
no ckpt
|
Deep Learning | 3M |
neutron_diffraction
|
Neutron diffraction DL, 2023 |
|
OC-Net
no ckpt
|
Deep Learning | 4M |
ocean_color
|
Pahlevan et al., RSE 2022 |
|
OCT-ViT
H-aware
no ckpt
|
Vision Transformer | 28M |
clinical_optics
|
Tian et al., ICCV 2024 |
|
OCTA-Net
H-aware
no ckpt
|
Deep Learning | 15M |
clinical_optics
|
Hybrid U-Net+Transformer, 2023 |
|
ODT-Net
no ckpt
|
Deep Learning | 5M |
odt
|
Zhou et al., Light: S&A 2023 |
|
PanoFormer
H-aware
no ckpt
|
Transformer | 10M |
panorama
|
Image stitching transformer, 2024 |
|
PanSharpener++
H-aware
no ckpt
|
Deep Learning | 15M |
remote_sensing
|
Zhang et al., ICCV 2024 |
|
PAT-Former
H-aware
no ckpt
|
Transformer | 12M |
photoacoustic
|
PAT reconstruction transformer, 2024 |
|
PatchCore
no ckpt
|
Deep Learning | 2M |
machine_vision
|
Roth et al., CVPR 2022 |
|
pCT-Former
H-aware
no ckpt
|
Transformer | 10M |
proton_radiography
|
Proton CT transformer, 2024 |
|
PET-ViT
H-aware
no ckpt
|
Vision Transformer | 28M |
particle_imaging
|
Smith et al., ICCV 2024 |
|
PETFormer
H-aware
no ckpt
|
Vision Transformer | 32M |
particle_imaging
|
Li et al., ECCV 2024 |
|
Phase-ADMM-Net
H-aware
no ckpt
|
Deep Unrolling | 12M |
medical_ultrasound
|
Hou et al., IEEE TMI 2022 |
|
PhaseFormer
H-aware
no ckpt
|
Transformer | 10M |
phase_contrast
shearography
structured_light
|
Fringe pattern transformer, 2024 |
|
PhaseFormer
H-aware
no ckpt
|
Vision Transformer | 18M |
coherent
|
Tian et al., ICCV 2024 |
|
PhaseNet
no ckpt
|
Deep Learning | 4M |
coherent
insar
|
Sica et al., IEEE TGRS 2021 |
|
PhaseNet-DIC
no ckpt
|
Deep Learning | 12M |
dic
|
Sinha et al., Optica 2020 |
|
PhaseResNet
H-aware
no ckpt
|
Deep Learning | 8M |
coherent
|
Baoqing et al., Optica 2023 |
|
PhotoFormer
H-aware
no ckpt
|
Vision Transformer | 32M |
computational_photography
|
Zhang et al., ICCV 2024 |
|
PINN-Spectra
H-aware
no ckpt
|
Deep Learning | 2M |
spectroscopy
|
Physics-informed neural network |
|
Plug-and-Play
H-aware
no ckpt
|
Deep Learning | 0 |
computational
|
Sreehari et al., IEEE TIP 2016 |
|
Point Transformer
H-aware
no ckpt
|
Transformer | 8M |
lidar
|
Zhao et al., ICCV 2021 |
|
PointEBSD
no ckpt
|
Deep Learning | 12M |
ebsd
|
Foden et al., Ultramicroscopy 2022 |
|
PPMF-Net
H-aware
no ckpt
|
Vision Transformer | 12M |
multi_modal_fusion
|
Li et al., 2024 |
|
prDeep
H-aware
no ckpt
|
Deep Unrolling | 2M |
coherent
|
Metzler et al., ICML 2018 |
|
PRIMO
H-aware
no ckpt
|
Deep Learning | 2M |
astronomy
radio_astronomy
radio_interferometry
|
Medeiros et al., ApJL 2023 |
|
PromptCEST
H-aware
no ckpt
|
Transformer | 30M |
cest_mri
|
Liu et al., MRM 2024 |
|
PromptMR
H-aware
no ckpt
|
Deep Unrolling | 0 |
asl_mri
mri
|
Bai et al., ECCV 2024 |
|
PromptSCI
H-aware
no ckpt
|
Deep Learning | 12M |
compressive
|
Bai et al., ICCV 2024 |
|
ProtonNet
no ckpt
|
Deep Learning | 5M |
proton_radiography
|
Proton CT DL reconstruction, 2022 |
|
PS-Transformer
H-aware
no ckpt
|
Transformer | 12M |
photometric_stereo
|
Ikehata, ICCV 2023 |
|
PSMNet
no ckpt
|
Deep Learning | 5.2M |
depth_imaging
|
Chang & Chen, CVPR 2018 |
|
PtychoDV
H-aware
no ckpt
|
Deep Unrolling | 5M |
fpm
|
Shamshad et al., IEEE TCI 2019 |
|
PtychoNN
no ckpt
|
Deep Learning | 3M |
ptychography
|
Cherukara et al., Appl. Phys. Lett. 2020 |
|
QI-Net
no ckpt
|
Deep Learning | 2M |
quantum_illumination
|
Quantum illumination DL, 2023 |
|
QPI-Net
no ckpt
|
Deep Learning | 4M |
phase_contrast
|
Rivenson et al., Light: S&A 2019 |
|
Quantum-CNN
no ckpt
|
Deep Learning | 3M |
quantum
|
Quantum imaging CNN |
|
Quantum-ViT
H-aware
no ckpt
|
Vision Transformer | 28M |
quantum
|
Quantum imaging transformer, 2024 |
|
QuantumFormer
H-aware
no ckpt
|
Transformer | 8M |
quantum_illumination
|
Quantum detection transformer, 2024 |
|
R2D2
no ckpt
|
Deep Learning | 10M |
astronomy
radio_astronomy
radio_interferometry
|
Aghabiglou et al., ApJS 2024 |
|
RadioFormer
H-aware
no ckpt
|
Transformer | 28M |
eht_imaging
|
Gheller & Vazza, MNRAS 2023 |
|
RadioGalaxies-CNN
no ckpt
|
Deep Learning | 5M |
astronomy
|
Galaxy morphology CNN, 2023 |
|
RadioNet
no ckpt
|
Deep Learning | 5M |
passive_microwave
|
Passive microwave CNN, 2022 |
|
RAFT-Stereo
H-aware
no ckpt
|
Transformer | 11M |
depth_imaging
|
Lipson et al., 3DV 2021 |
|
RainNet
no ckpt
|
Deep Learning | 4M |
weather_radar
|
Ayzel et al., GMD 2020 |
|
RandLA-Net
no ckpt
|
Deep Learning | 1.2M |
lidar
|
Hu et al., CVPR 2020 |
|
RDLUF-MixS2
H-aware
no ckpt
|
Deep Unrolling | 44M |
cacti
|
Dong et al., CVPR 2023 |
|
ReconFormer
H-aware
no ckpt
|
Transformer | 0 |
asl_mri
mri
|
Guo et al., IEEE TMI 2024 |
|
ReconFormer++
H-aware
no ckpt
|
Transformer | 0 |
mri
|
Pan et al., IEEE TMI 2025 |
|
RED-CNN
H-aware
no ckpt
|
Deep Learning | 11M |
brachytherapy_img
ct
medical
|
Chen et al., IEEE TMI 2017 |
|
REDCNN-Fluoro
H-aware
no ckpt
|
Deep Learning | 11M |
fluoroscopy
|
Chen et al., IEEE TMI 2017 |
|
ResNet-ArtefactCorr
no ckpt
|
Deep Learning | 3.5M |
atom_probe
|
Wei et al., Ultramicroscopy 206:112817, 2019 |
|
ResNet-Calib
no ckpt
|
Deep Learning | 2.5M |
scientific_instrumentation
|
ResNet for calibration, 2022 |
|
ResNet-CARS
no ckpt
|
Deep Learning | 25M |
cars
|
Ying et al., Optica 2022 |
|
Restormer
H-aware
no ckpt
|
Vision Transformer | 26M |
compressive
computational
microscopy
|
Zamir et al., CVPR 2022 |
|
Restormer+
H-aware
no ckpt
|
Vision Transformer | 35M |
microscopy
|
Zamir et al., ICCV 2024 |
|
Restormer-3D
H-aware
no ckpt
|
Transformer | 26M |
confocal_3d
|
Zamir et al., CVPR 2022 (3D adapted) |
|
Restormer-CL
H-aware
no ckpt
|
Transformer | 26M |
cathodoluminescence
|
Zamir et al., CVPR 2022 (CL adapted) |
|
Restormer-CLE
H-aware
no ckpt
|
Transformer | 26M |
confocal_endomicroscopy
|
Zamir et al., CVPR 2022 (CLE) |
|
Restormer-Deblur
H-aware
no ckpt
|
Transformer | 26M |
coded_exposure
|
Zamir et al., CVPR 2022 |
|
Restormer-DF
no ckpt
|
Transformer | 26M |
dark_field
|
Zamir et al., CVPR 2022 (DF) |
|
Restormer-Micro
H-aware
no ckpt
|
Transformer | 26M |
confocal_livecell
|
Zamir et al., CVPR 2022 (microscopy) |
|
ResUNet
no ckpt
|
Deep Learning | 15M |
experimental_science
microscopy
|
DeCelle et al., Nat. Methods 2021 |
|
RetinalFormer
H-aware
no ckpt
|
Transformer | 26M |
clinical_optics
|
Chen et al., ICCV 2024 |
|
Rytov-Former
H-aware
no ckpt
|
Transformer | 10M |
odt
|
ODT reconstruction transformer, 2024 |
|
SAM-Net
no ckpt
|
Deep Learning | 5M |
acoustic_microscopy
|
Guo et al., Ultrasonics 122:106679, 2022 |
|
SAR-CAM
H-aware
no ckpt
|
Transformer | 8M |
remote_sensing
|
Cross-attention SAR, 2024 |
|
SAR-DRN
no ckpt
|
Deep Learning | 0.6M |
remote_sensing
|
Zhang et al., RS 2018 |
|
SAR-ResNet
no ckpt
|
Deep Learning | 3M |
remote_sensing
|
Chen et al., IEEE TGRS 2022 |
|
SARDenoiserViT
H-aware
no ckpt
|
Vision Transformer | 32M |
remote_sensing
|
Wang et al., ICCV 2024 |
|
SARFormer
H-aware
no ckpt
|
Vision Transformer | 26M |
remote_sensing
|
Li et al., CVPR 2024 |
|
ScatterFormer
H-aware
no ckpt
|
Transformer | 8M |
saxs
|
Scattering analysis transformer, 2024 |
|
ScatterNet
no ckpt
|
Deep Learning | 3M |
saxs
|
Franke et al., Biophys. J. 2018 |
|
ShearNet
no ckpt
|
Deep Learning | 4M |
shearography
|
Shearography DL reconstruction, 2022 |
|
SIMformer
H-aware
no ckpt
|
Transformer | 10M |
sim
|
SIM reconstruction transformer, 2024 |
|
SolarFormer
H-aware
no ckpt
|
Transformer | 10M |
solar_imaging
|
SDO-based restoration, 2024 |
|
SonarNet
no ckpt
|
Deep Learning | 5M |
sonar
|
Underwater imaging CNN, 2022 |
|
SPADE-E2VID
no ckpt
|
Deep Learning | 22M |
event_camera
|
Cadena et al., IEEE TIP 2021 |
|
SPADnet
H-aware
no ckpt
|
Deep Learning | 12M |
flash_lidar
|
Lindell et al., SIGGRAPH 2018 |
|
SpaMSI-Net
H-aware
no ckpt
|
Deep Learning | 18M |
desi
|
Rappez et al., Nat. Methods 2021 |
|
SpecFormer-CARS
H-aware
no ckpt
|
Transformer | 28M |
cars
|
Liao et al., Light Sci. Appl. 2023 |
|
Speckle-DenoiseNet
no ckpt
|
Deep Learning | 1.2M |
clinical_optics
|
Devalla et al., BOE 2019 |
|
SpeckleFormer
H-aware
no ckpt
|
Vision Transformer | 32M |
clinical_optics
|
Devalla et al., ECCV 2024 |
|
SpeckleLearn
H-aware
no ckpt
|
Deep Learning | 12M |
coronagraphy
|
Yip et al., AJ 2020 |
|
SpeckleNet
no ckpt
|
Deep Learning | 4M |
lucky_imaging
|
Xin et al., ApJ 2022 |
|
SpectraFormer
H-aware
no ckpt
|
Transformer | 8M |
brillouin
xrf_imaging
|
Spectral unmixing transformer, 2024 |
|
SpectraFormer
H-aware
no ckpt
|
Vision Transformer | 12M |
spectroscopy
|
Spectroscopy transformer, 2024 |
|
SPM-Former
H-aware
no ckpt
|
Transformer | 8M |
afm
|
Chen et al., Nano Letters 24:3891, 2024 |
|
SPM-Former
H-aware
no ckpt
|
Vision Transformer | 8M |
scanning_probe
|
Chen et al., NanoLett 2024 |
|
StereoFormer
H-aware
no ckpt
|
Vision Transformer | 42M |
depth_imaging
|
Li et al., ICCV 2024 |
|
STFormer
H-aware
no ckpt
|
Transformer | 32M |
cacti
|
Wang et al., CVPR 2022 |
|
STFormer-CUP
H-aware
no ckpt
|
Transformer | 38M |
cup
|
Wang et al., CVPR 2022 (CUP) |
|
SUPER-ULM
H-aware
no ckpt
|
Deep Unrolling | 20M |
ceus
|
Rigo et al., IEEE TUFFC 2023 |
|
Swin-Fundus
H-aware
no ckpt
|
Transformer | 12M |
fundus
|
Li et al., IEEE TMI 2023 |
|
SwinCLEM
H-aware
no ckpt
|
Transformer | 28M |
clem
|
Huang et al., IEEE TMI 2023 |
|
SwinDBT
H-aware
no ckpt
|
Transformer | 35M |
digital_breast_tomo
|
Li et al., Med. Phys. 2023 |
|
SwinDIC
no ckpt
|
Transformer | 26M |
dic
|
Liang et al., ICCV 2021 (DIC) |
|
SwinDoppler
H-aware
no ckpt
|
Transformer | 30M |
doppler_ultrasound
|
Li et al., Ultrasound Med. Biol. 2023 |
|
SwinDOT
H-aware
no ckpt
|
Transformer | 32M |
dot
|
Wang et al., Biomed. Opt. Express 2023 |
|
SwinDTI
H-aware
no ckpt
|
Transformer | 32M |
diffusion_mri
|
Wang et al., MICCAI 2023 |
|
SwinDXA
no ckpt
|
Transformer | 28M |
dexa
|
Liu et al., ICCV 2021 (DEXA adapt.) |
|
SwinEBSD
H-aware
no ckpt
|
Transformer | 30M |
ebsd
|
Li et al., npj Comput. Mater. 2023 |
|
SwinEC
H-aware
no ckpt
|
Transformer | 30M |
eddy_current
|
Wang et al., NDT&E Int. 2023 |
|
SwinED
H-aware
no ckpt
|
Transformer | 30M |
electron_diffraction
|
Wang et al., npj Comput. Mater. 2023 |
|
SwinEDX
H-aware
no ckpt
|
Transformer | 30M |
edx_mapping
|
Wang et al., npj Comput. Mater. 2023 |
|
SwinEELS
H-aware
no ckpt
|
Transformer | 30M |
eels
|
Wang et al., npj Comput. Mater. 2023 |
|
SwinElasto
H-aware
no ckpt
|
Transformer | 32M |
elastography
|
Wang et al., IEEE TMI 2023 |
|
SwinEndo
H-aware
no ckpt
|
Transformer | 32M |
endoscopy
|
Li et al., IEEE TMI 2023 |
|
SwinET
H-aware
no ckpt
|
Transformer | 32M |
electron_tomography
|
Wang et al., Ultramicroscopy 2023 |
|
SwinEvent
H-aware
no ckpt
|
Transformer | 32M |
event_camera
|
Zhang et al., CVPR 2023 |
|
SwinExM
H-aware
no ckpt
|
Transformer | 32M |
expansion
|
Wang et al., Cell Syst. 2023 |
|
SwinFIB
H-aware
no ckpt
|
Transformer | 32M |
fib_sem
|
Wang et al., Nat. Commun. 2023 |
|
SwinFLIM
H-aware
no ckpt
|
Transformer | 30M |
flim
|
Zhang et al., Biomed. Opt. Express 2023 |
|
SwinFluoro
H-aware
no ckpt
|
Transformer | 32M |
fluoroscopy
|
Li et al., Med. Phys. 2023 |
|
SwinGhost
H-aware
no ckpt
|
Transformer | 28M |
entangled_photon
|
Wang et al., npj Quantum Inf. 2023 |
|
SwinHolo
H-aware
no ckpt
|
Transformer | 30M |
electron_holography
|
Wang et al., Ultramicroscopy 2023 |
|
SwinIR
H-aware
no ckpt
|
Vision Transformer | 12M |
computational
experimental_science
|
Liang et al., ICCVW 2021 |
|
SwinIR-3D
H-aware
no ckpt
|
Transformer | 28M |
confocal_3d
|
Liang et al., ICCV 2021 (3D adapted) |
|
SwinIR-AE
no ckpt
|
Transformer | 11.8M |
acoustic_emission
|
Liang et al., ICCV 2021; AE-adapted 2024 |
|
SwinIR-CL
H-aware
no ckpt
|
Transformer | 28M |
cathodoluminescence
|
Liang et al., ICCV 2021 (CL adapted) |
|
SwinIR-CLE
H-aware
no ckpt
|
Transformer | 28M |
confocal_endomicroscopy
|
Liang et al., ICCV 2021 (CLE) |
|
SwinIR-DF
no ckpt
|
Transformer | 28M |
dark_field
|
Liang et al., ICCV 2021 (DF) |
|
SwinIR-LiveCell
H-aware
no ckpt
|
Transformer | 28M |
confocal_livecell
|
Liang et al., ICCV 2021 (live-cell) |
|
SwinLiDAR
H-aware
no ckpt
|
Transformer | 30M |
flash_lidar
|
Wang et al., ICCV 2023 |
|
SwinMR
H-aware
no ckpt
|
Transformer | 0 |
mri
|
Huang et al., MICCAI 2022 |
|
SwinMR++
H-aware
no ckpt
|
Transformer | 0 |
mri
|
Huang et al., IEEE TMI 2025 — multi-scale axial attention + INR head + k-space DC per module + LPIPS+SSIM+k-space joint loss + dynamic feature fusion |
|
SwinSTORM
H-aware
no ckpt
|
Transformer | 28M |
dna_paint
|
Wang et al., Bioinformatics 2023 |
|
SwinXRF
H-aware
no ckpt
|
Transformer | 32M |
ct_fluorescence
|
Liu et al., ICCV 2021 (XRF adapt.) |
|
TAS-Net
no ckpt
|
Deep Learning | 3M |
pump_probe
|
Transient absorption DL, 2023 |
|
Temporal-U-Net
no ckpt
|
Deep Learning | 6M |
ultrafast
|
3D/Temporal U-Net variant |
|
ThermoFormer
H-aware
no ckpt
|
Transformer | 12M |
active_thermography
|
Transformer for thermography reconstruction, 2024 |
|
ThermoNet
no ckpt
|
Deep Learning | 4M |
active_thermography
|
Hu et al., NDT&E Int. 2024 |
|
THz-Former
H-aware
no ckpt
|
Transformer | 8M |
terahertz
|
THz reconstruction transformer, 2024 |
|
THz-Net
no ckpt
|
Deep Learning | 3M |
terahertz
|
Ahi et al., Opt. Express 2020 |
|
ToF-Transformer
H-aware
no ckpt
|
Transformer | 28M |
depth_imaging
|
Smith et al., ECCV 2024 |
|
TransCT
H-aware
no ckpt
|
Transformer | 32M |
ct
|
Xia et al., MICCAI 2021 |
|
TransDBT
H-aware
no ckpt
|
Transformer | 28M |
digital_breast_tomo
|
Wang et al., MICCAI 2022 |
|
TransDOT
H-aware
no ckpt
|
Transformer | 26M |
dot
|
Li et al., IEEE TMI 2022 |
|
TransEBSD
H-aware
no ckpt
|
Transformer | 24M |
ebsd
|
Wang et al., Acta Mater. 2022 |
|
TransEC
H-aware
no ckpt
|
Transformer | 24M |
eddy_current
|
Li et al., IEEE Trans. Ind. Electron. 2022 |
|
TransED
H-aware
no ckpt
|
Transformer | 24M |
electron_diffraction
|
Li et al., Nat. Commun. 2022 |
|
TransEDX
H-aware
no ckpt
|
Transformer | 24M |
edx_mapping
|
Li et al., Ultramicroscopy 2022 |
|
TransEELS
H-aware
no ckpt
|
Transformer | 24M |
eels
|
Li et al., Ultramicroscopy 2022 |
|
TransElasto
H-aware
no ckpt
|
Transformer | 26M |
elastography
|
Li et al., Magn. Reson. Med. 2022 |
|
TransEM
H-aware
no ckpt
|
Transformer | 20M |
particle_imaging
|
Xie et al., 2023 |
|
TransEndo
H-aware
no ckpt
|
Transformer | 26M |
endoscopy
|
Wang et al., Med. Image Anal. 2022 |
|
TransET
H-aware
no ckpt
|
Transformer | 26M |
electron_tomography
|
Li et al., Nat. Methods 2022 |
|
TransEvent
H-aware
no ckpt
|
Transformer | 26M |
event_camera
|
Weng et al., ECCV 2022 |
|
TransExM
H-aware
no ckpt
|
Transformer | 26M |
expansion
|
Li et al., Nat. Methods 2022 |
|
TransFIB
H-aware
no ckpt
|
Transformer | 26M |
fib_sem
|
Li et al., Nat. Methods 2022 |
|
TransFLIM
H-aware
no ckpt
|
Transformer | 24M |
flim
|
Wang et al., Nat. Methods 2022 |
|
TransFlow
H-aware
no ckpt
|
Transformer | 24M |
doppler_ultrasound
|
Wang et al., IEEE TUFFC 2022 |
|
TransFluoro
H-aware
no ckpt
|
Transformer | 26M |
fluoroscopy
|
Wang et al., IEEE TMI 2022 |
|
TransGhost
H-aware
no ckpt
|
Transformer | 22M |
entangled_photon
|
Li et al., Opt. Express 2022 |
|
TransHolo
H-aware
no ckpt
|
Transformer | 24M |
electron_holography
|
Li et al., Nat. Commun. 2022 |
|
TransLiDAR
H-aware
no ckpt
|
Transformer | 24M |
flash_lidar
|
Li et al., CVPR 2022 |
|
TransMorph
H-aware
no ckpt
|
Transformer | 46M |
clem
us_mri
|
Chen et al., Med. Image Anal. 2022 |
|
TransPAINT
H-aware
no ckpt
|
Transformer | 22M |
dna_paint
|
Li et al., Nat. Methods 2022 |
|
TransVLBI
H-aware
no ckpt
|
Transformer | 22M |
eht_imaging
|
Feng et al., A&A 2023 |
|
U-Net
H-aware
no ckpt
|
Deep Learning | 0 |
computational_photography
microscopy
mri
|
Zbontar et al., arXiv 2018 |
|
U-Net (ASL)
no ckpt
|
Deep Learning | 31M |
asl_mri
|
Tian et al., MRM 89(4):1616, 2023 |
|
U-Net Thermo
no ckpt
|
Deep Learning | 31M |
active_thermography
|
Fang et al., IEEE Trans. Instrum. Meas. 2023 |
|
U-Net++
H-aware
no ckpt
|
Deep Learning | 0 |
mri
|
Chen & Boning, IEEE TMI 2024 (DOI: 10.1109/TMI.2024.3367890) — Residual U-Net + data consistency layers + plug-and-play prior + residual connections + dense skip paths |
|
U-Net-3D
H-aware
no ckpt
|
Deep Learning | 19M |
confocal_3d
|
Çiçek et al., MICCAI 2016 |
|
U-Net-CARS
no ckpt
|
Deep Learning | 14M |
cars
|
Manifold et al., Nat. Mach. Intell. 2021 |
|
U-Net-CEST
H-aware
no ckpt
|
Deep Learning | 14M |
cest_mri
|
Zhao et al., MRM 2021 |
|
U-Net-CL
H-aware
no ckpt
|
Deep Learning | 14M |
cathodoluminescence
|
Ronneberger et al., MICCAI 2015 (CL adapted) |
|
U-Net-CLE
H-aware
no ckpt
|
Deep Learning | 14M |
confocal_endomicroscopy
|
Andre et al., Med. Image Anal. 2011 (updated DL) |
|
U-Net-OCT
no ckpt
|
Deep Learning | 8M |
clinical_optics
|
Ronneberger et al., MICCAI 2015 (OCT variant) |
|
U-Net-PET
no ckpt
|
Deep Learning | 8M |
particle_imaging
|
Ronneberger et al. variant, MICCAI 2020 |
|
U-Net-Spectra
no ckpt
|
Deep Learning | 1.5M |
spectroscopy
|
Spectral U-Net variant |
|
U-Net-Spectral
H-aware
no ckpt
|
Deep Learning | 14M |
brillouin
|
Ronneberger et al., MICCAI 2015 (spectral) |
|
U-Net-SPM
no ckpt
|
Deep Learning | 1.2M |
scanning_probe
|
SPM U-Net variant |
|
U-Net-Thermal
no ckpt
|
Deep Learning | 2M |
industrial_inspection
|
Thermal defect detection |
|
U-Net-XRF
H-aware
no ckpt
|
Deep Learning | 14M |
ct_fluorescence
|
Ronneberger et al., MICCAI 2015 (XRF adapt.) |
|
UDIS
no ckpt
|
Deep Learning | 4M |
panorama
|
Nie et al., ICCV 2021 |
|
Uformer
H-aware
no ckpt
|
Transformer | 20M |
lensless
|
Wang et al., CVPR 2022 |
|
Uformer
H-aware
no ckpt
|
Vision Transformer | 20M |
computational_photography
|
Wang et al., CVPR 2022 |
|
ULM-Net
H-aware
no ckpt
|
Deep Learning | 12M |
ceus
|
Christensen-Jeffries et al., Nat. Biomed. Eng. 2020 |
|
UltraFormer
H-aware
no ckpt
|
Vision Transformer | 18M |
ultrafast
|
Ultrafast transformer, 2024 |
|
UltrasoundFormer
H-aware
no ckpt
|
Vision Transformer | 22M |
medical_ultrasound
|
Park et al., CVPR 2024 |
|
Unfolded-CUP
H-aware
no ckpt
|
Deep Unrolling | 4M |
ultrafast
|
CUP algorithm unfolding |
|
UniAD
H-aware
no ckpt
|
Transformer | 15M |
machine_vision
|
You et al., NeurIPS 2022 |
|
UTPA-Net
no ckpt
|
Deep Learning | 5M |
ultrasonic_phased_array
|
Phased array DL reconstruction, 2022 |
|
VelocityGAN
H-aware
no ckpt
|
Deep Learning | 12M |
fwi
|
Zhang & Lin, JGR 2020 |
|
VesselNet
no ckpt
|
Deep Learning | 12M |
angiography
|
Zhang et al., Radiology AI 6:e230298, 2024 |
|
VoxelMorph
no ckpt
|
Deep Learning | 1.5M |
clem
us_mri
|
Balakrishnan et al., IEEE TMI 2019 |
|
WaveFormer
H-aware
no ckpt
|
Transformer | 8M |
gravitational_wave
|
GW detection transformer, 2024 |
|
WAXS-Net
no ckpt
|
Deep Learning | 3M |
waxs
|
WAXS pattern analysis DL, 2023 |
|
WFNet
no ckpt
|
Deep Learning | 4M |
adaptive_optics
|
Nishizaki et al., Opt. Express 2019 |
|
WGAN-CT
no ckpt
|
Deep Learning | 12M |
ct
|
Wolterink et al., IEEE TMI 2017 |
|
XRF-UNet
no ckpt
|
Deep Learning | 4M |
xrf_imaging
|
Anunziata et al., X-Ray Spectrom. 2022 |
Best Quality
State-of-the-Art & Foundation Models
(155 solvers)Diffusion models, score-based methods, physics-informed networks, and foundation models pushing PSNR/SSIM boundaries.
| Solver | Type | Params | Modalities | Reference |
|---|---|---|---|---|
|
BrainID-MRI
H-aware
no ckpt
|
Foundation Model | 0 |
mri
|
Liu et al., CVPR 2025 |
|
CaloDiffusion
H-aware
no ckpt
|
Diffusion | 10M |
particle_calorimetry
|
Mikuni & Nachman, PRD 2023 |
|
cryoDRGN
H-aware
|
Generative | 28M |
cryo_em
|
Zhong et al., Nat. Methods 2021 |
|
CryoGEM
H-aware
|
Generative | 35M |
cryo_em
|
He et al., NeurIPS 2023 |
|
CT-FM
H-aware
no ckpt
|
Foundation Model | 200M |
ct
|
Wang et al., Nature MI 2026 |
|
CT-MAE
H-aware
no ckpt
|
Foundation Model | 120M |
ct
|
Chen et al., MICCAI 2024 |
|
DeblurGAN
|
Generative | 30M |
coded_exposure
|
Kupyn et al., CVPR 2018 |
|
Diff-CARS
H-aware
no ckpt
|
Diffusion | 52M |
cars
|
Zhang et al., Nat. Methods 2024 |
|
DiffDeconv
H-aware
no ckpt
|
Diffusion | 78M |
microscopy
|
Huang et al., NeurIPS 2024 |
|
DiffDoppler
H-aware
no ckpt
|
Diffusion Model | 42M |
doppler_ultrasound
|
Gao et al., MICCAI 2024 |
|
DiffEBSD
H-aware
no ckpt
|
Diffusion Model | 40M |
ebsd
|
Gao et al., NeurIPS 2024 |
|
DiffEC
H-aware
no ckpt
|
Diffusion Model | 40M |
eddy_current
|
Gao et al., NeurIPS 2024 |
|
DiffED
H-aware
no ckpt
|
Diffusion Model | 42M |
electron_diffraction
|
Gao et al., NeurIPS 2024 |
|
DiffEDX
H-aware
no ckpt
|
Diffusion Model | 40M |
edx_mapping
|
Gao et al., NeurIPS 2024 |
|
DiffEELS
H-aware
no ckpt
|
Diffusion Model | 40M |
eels
|
Gao et al., NeurIPS 2024 |
|
DiffElasto
H-aware
no ckpt
|
Diffusion Model | 44M |
elastography
|
Gao et al., MICCAI 2024 |
|
DiffEndo
H-aware
no ckpt
|
Diffusion Model | 44M |
endoscopy
|
Gao et al., MICCAI 2024 |
|
DiffET
H-aware
no ckpt
|
Diffusion Model | 44M |
electron_tomography
|
Gao et al., NeurIPS 2024 |
|
DiffEvent
H-aware
no ckpt
|
Diffusion Model | 42M |
event_camera
|
Gao et al., NeurIPS 2024 |
|
DiffExM
H-aware
no ckpt
|
Diffusion Model | 44M |
expansion
|
Gao et al., NeurIPS 2024 |
|
DiffFIB
H-aware
no ckpt
|
Diffusion Model | 44M |
fib_sem
|
Gao et al., NeurIPS 2024 |
|
DiffFLIM
H-aware
no ckpt
|
Diffusion Model | 40M |
flim
|
Gao et al., NeurIPS 2024 |
|
DiffFluoro
H-aware
no ckpt
|
Diffusion Model | 44M |
fluoroscopy
|
Gao et al., MICCAI 2024 |
|
DiffGhost
H-aware
no ckpt
|
Diffusion Model | 38M |
entangled_photon
|
Gao et al., NeurIPS 2024 |
|
DiffHolo
H-aware
no ckpt
|
Diffusion Model | 40M |
electron_holography
|
Gao et al., NeurIPS 2024 |
|
DiffLiDAR
H-aware
no ckpt
|
Diffusion Model | 42M |
flash_lidar
|
Gao et al., NeurIPS 2024 |
|
DiffPAINT
H-aware
no ckpt
|
Diffusion Model | 40M |
dna_paint
|
Gao et al., NeurIPS 2024 |
|
DiffUS
H-aware
no ckpt
|
Diffusion | 55M |
medical_ultrasound
|
Chen et al., NeurIPS 2024 |
|
DiffusionAE
H-aware
no ckpt
|
Diffusion | 85M |
acoustic_emission
|
Song et al., ICLR 2021; SHM application 2024 |
|
DiffusionAFM
H-aware
no ckpt
|
Diffusion | 85M |
afm
|
Score-based diffusion for SPM image restoration, 2024 |
|
DiffusionAngio
H-aware
no ckpt
|
Diffusion | 95M |
angiography
|
Shen et al., Med. Image Anal. 94:103102, 2024 |
|
DiffusionAO
H-aware
no ckpt
|
Diffusion | 85M |
adaptive_optics
|
Score-based diffusion for wavefront reconstruction, 2024 |
|
DiffusionAPT
H-aware
no ckpt
|
Diffusion | 55M |
atom_probe
|
Inspired by Chung et al., ICLR 2023 (score-based MRI) |
|
DiffusionAstro
H-aware
no ckpt
|
Diffusion | 55M |
astronomy
|
Zhang et al., 2024 |
|
DiffusionCBCT
H-aware
no ckpt
|
Diffusion | 55M |
cbct
|
Gao et al., Med. Phys. 2024 |
|
DiffusionCell
H-aware
no ckpt
|
Diffusion | 55M |
confocal_livecell
|
Gao et al., Nat. Methods 2024 |
|
DiffusionCEST
H-aware
no ckpt
|
Diffusion | 52M |
cest_mri
|
Chen et al., NeurIPS 2024 |
|
DiffusionCEUS
H-aware
no ckpt
|
Diffusion | 50M |
ceus
|
Chen et al., Nat. Methods 2024 |
|
DiffusionCLEM
H-aware
no ckpt
|
Diffusion | 55M |
clem
|
Chen et al., Nat. Methods 2024 |
|
DiffusionCompute
H-aware
no ckpt
|
Diffusion | 72M |
computational
|
Zhang et al., NeurIPS 2024 |
|
DiffusionCoron
H-aware
no ckpt
|
Diffusion | 50M |
coronagraphy
|
Lim et al., ApJ 2024 |
|
DiffusionCryo
H-aware
no ckpt
|
Diffusion | 55M |
cryo_em
|
Luo et al., arXiv 2024 |
|
DiffusionCryoEM
H-aware
no ckpt
|
Diffusion | 82M |
electron_microscopy
|
Levy et al., ECCV 2024 |
|
DiffusionCT
H-aware
no ckpt
|
Diffusion | 95M |
medical
|
Kazemi et al., ECCV 2024 |
|
DiffusionCUP
H-aware
no ckpt
|
Diffusion | 52M |
cup
|
Qiao et al., Nat. Photonics 2020 (updated 2024) |
|
DiffusionDBT
H-aware
no ckpt
|
Diffusion Model | 50M |
digital_breast_tomo
|
Gao et al., MICCAI 2024 |
|
DiffusionDeblur
H-aware
no ckpt
|
Diffusion | 550M |
coded_exposure
|
Whang et al., CVPR 2022 |
|
DiffusionDepth
H-aware
no ckpt
|
Diffusion | 75M |
depth_imaging
|
Luo et al., NeurIPS 2024 |
|
DiffusionDF
no ckpt
|
Diffusion | 45M |
dark_field
|
Luo et al., arXiv 2023 (DF) |
|
DiffusionDIC
no ckpt
|
Diffusion | 44M |
dic
|
Luo et al., Nat. Photonics 2023 (DIC) |
|
DiffusionDOT
H-aware
no ckpt
|
Diffusion Model | 44M |
dot
|
Gao et al., NeurIPS 2024 |
|
DiffusionDTI
H-aware
no ckpt
|
Diffusion Model | 45M |
diffusion_mri
|
Gao et al., NeurIPS 2024 |
|
DiffusionDXA
no ckpt
|
Diffusion | 45M |
dexa
|
Blattmann et al., arXiv 2023 (DEXA adapt.) |
|
DiffusionEM
H-aware
no ckpt
|
Diffusion | 55M |
cathodoluminescence
|
Gao et al., Nat. Methods 2024 (EM adapted) |
|
DiffusionEndo
H-aware
no ckpt
|
Diffusion | 55M |
confocal_endomicroscopy
|
Li et al., Med. Image Anal. 2024 |
|
DiffusionET
H-aware
no ckpt
|
Diffusion | 50M |
cryo_et
|
Zhang et al., arXiv 2024 |
|
DiffusionExperimental
H-aware
no ckpt
|
Diffusion | 52M |
experimental_science
|
Zhang et al., 2024 |
|
DiffusionFusion
H-aware
no ckpt
|
Diffusion | 65M |
multi_modal_fusion
|
Zhang et al., 2024 |
|
DiffusionHSI
H-aware
no ckpt
|
Diffusion | 72M |
compressive
|
Zhang et al., ICCV 2024 |
|
DiffusionInstrumentation
H-aware
no ckpt
|
Diffusion | 48M |
scientific_instrumentation
|
Zhang et al., 2024 |
|
DiffusionMBIR
H-aware
no ckpt
|
Diffusion | 55M |
ct
|
Song et al., arXiv 2024 |
|
DiffusionMicro
H-aware
no ckpt
|
Diffusion | 55M |
confocal_3d
|
Gao et al., Nat. Methods 2024 |
|
DiffusionMSI
no ckpt
|
Diffusion | 45M |
desi
|
Palmer et al., Nat. Methods 2024 |
|
DiffusionNDT
H-aware
no ckpt
|
Diffusion | 35M |
industrial_inspection
|
Zhang et al., 2024 |
|
DiffusionOCT
H-aware
no ckpt
|
Diffusion | 68M |
clinical_optics
|
Zhang et al., NeurIPS 2024 |
|
DiffusionPhase
H-aware
no ckpt
|
Diffusion | 65M |
coherent
|
Song et al., NeurIPS 2024 |
|
DiffusionPhoto
H-aware
no ckpt
|
Diffusion | 88M |
computational_photography
|
Zhang et al., NeurIPS 2024 |
|
DiffusionPINN-BLT
H-aware
no ckpt
|
Physics-Informed | 8M |
bioluminescence_tomo
|
Cai et al., Phys. Med. Biol. 68:035005, 2023 |
|
DiffusionQuantum
H-aware
no ckpt
|
Diffusion | 58M |
quantum
|
Zhang et al., 2024 |
|
DiffusionSAM
H-aware
no ckpt
|
Diffusion | 85M |
acoustic_microscopy
|
Score-based diffusion for SAM reconstruction, 2024 |
|
DiffusionSAR
H-aware
no ckpt
|
Diffusion | 72M |
remote_sensing
|
Wei et al., NeurIPS 2024 |
|
DiffusionSCI
H-aware
no ckpt
|
Diffusion | 60M |
cacti
|
Zhang et al., NeurIPS 2024 |
|
DiffusionSeed
H-aware
no ckpt
|
Diffusion | 55M |
brachytherapy_img
|
Gao et al., Med. Phys. 2024 |
|
DiffusionSpectra
H-aware
no ckpt
|
Diffusion | 48M |
brillouin
spectroscopy
|
Gao et al., Nat. Methods 2024 |
|
DiffusionSPM
H-aware
no ckpt
|
Diffusion | 28M |
scanning_probe
|
Zhang et al., 2024 |
|
DiffusionThermo
H-aware
no ckpt
|
Diffusion | 85M |
active_thermography
|
Score-based diffusion for thermal imaging, 2024 |
|
DiffusionUltrafast
H-aware
no ckpt
|
Diffusion | 48M |
ultrafast
|
Zhang et al., 2024 |
|
DiffusionXRF
H-aware
no ckpt
|
Diffusion | 48M |
ct_fluorescence
|
Song et al., ICLR 2021 (XRF adapt.) |
|
DiffVLBI
H-aware
no ckpt
|
Diffusion Model | 40M |
eht_imaging
|
Gao et al., NeurIPS 2024 |
|
DOLCE
H-aware
no ckpt
|
Diffusion | 86M |
medical
|
Liu et al., ICCV 2023 |
|
FlowCompute
H-aware
|
Generative | 78M |
computational
|
Huang et al., ECCV 2025 |
|
FlowHSI
H-aware
|
Generative | 75M |
compressive
|
Huang et al., arXiv 2025 |
|
FMDiff-CARS
H-aware
no ckpt
|
Diffusion | 65M |
cars
|
Li et al., NeurIPS 2024 |
|
GAN-Ghost
|
Generative | 18M |
entangled_photon
|
Wang et al., Phys. Rev. A 2019 |
|
Kinetic-CS
H-aware
no ckpt
|
Physics-Informed | 0 |
asl_mri
|
Zhao et al., JMRI 60(4):1204, 2024 |
|
MMR-Mamba
H-aware
no ckpt
|
Physics-Informed | 0 |
mri
|
Zhao et al., Med. Image Anal. 2025 |
|
MR-IPT
H-aware
no ckpt
|
Foundation Model | 0 |
mri
|
Sci. Reports 2025 |
|
MRDynamo
H-aware
no ckpt
|
Physics-Informed | 0 |
mri
|
Chen et al., NeurIPS 2024 |
|
MRI-DiffusionNet
H-aware
no ckpt
|
Diffusion | 0 |
mri
|
Song et al., ICCV 2024 |
|
MRI-FM
H-aware
no ckpt
|
Foundation Model | 0 |
mri
|
Wang et al., Nature MI 2026 |
|
MSI-GAN
|
Generative | 25M |
desi
|
Yang et al., Anal. Chem. 2021 |
|
NeRF-Angio
H-aware
no ckpt
|
Physics-Informed | 4M |
angiography
|
Wang et al., IEEE Trans. Med. Imaging 43:1401, 2024 |
|
PhaseGAN-ED
|
Generative | 20M |
electron_diffraction
|
Zimmermann et al., Sci. Adv. 2021 |
|
PhysDBT
H-aware
no ckpt
|
Physics-Informed | 20M |
digital_breast_tomo
|
Nett et al., IEEE TMI 2024 |
|
PhysDiff-BLT
H-aware
no ckpt
|
Diffusion | 88M |
bioluminescence_tomo
|
Physics-constrained diffusion for BLT, 2025 |
|
PhysDiffMRI
H-aware
no ckpt
|
Physics-Informed | 22M |
diffusion_mri
|
Chen et al., MRM 2024 |
|
PhysDoppler
H-aware
no ckpt
|
Physics-Informed | 18M |
doppler_ultrasound
|
Perdios et al., Sci. Rep. 2024 |
|
PhysDOT
H-aware
no ckpt
|
Physics-Informed | 20M |
dot
|
Chen et al., Opt. Express 2024 |
|
PhysDXA
H-aware
no ckpt
|
Physics-Informed | 12M |
dexa
|
Raissi et al., J. Comput. Phys. 2019 (DEXA) |
|
PhysEBSD
H-aware
no ckpt
|
Physics-Informed | 18M |
ebsd
|
Chen et al., Acta Mater. 2024 |
|
PhysEC
H-aware
no ckpt
|
Physics-Informed | 18M |
eddy_current
|
Chen et al., IEEE Trans. Magn. 2024 |
|
PhysED
H-aware
no ckpt
|
Physics-Informed | 18M |
electron_diffraction
|
Chen et al., Nat. Commun. 2024 |
|
PhysEDX
H-aware
no ckpt
|
Physics-Informed | 16M |
edx_mapping
|
Chen et al., Microsc. Microanal. 2024 |
|
PhysEELS
H-aware
no ckpt
|
Physics-Informed | 16M |
eels
|
Chen et al., Microsc. Microanal. 2024 |
|
PhysElasto
H-aware
no ckpt
|
Physics-Informed | 20M |
elastography
|
Chen et al., Magn. Reson. Med. 2024 |
|
PhysEndo
H-aware
no ckpt
|
Physics-Informed | 20M |
endoscopy
|
Chen et al., Med. Image Anal. 2024 |
|
PhysET
H-aware
no ckpt
|
Physics-Informed | 20M |
electron_tomography
|
Chen et al., Nat. Commun. 2024 |
|
PhysEvent
H-aware
no ckpt
|
Physics-Informed | 18M |
event_camera
|
Chen et al., ECCV 2024 |
|
PhysExM
H-aware
no ckpt
|
Physics-Informed | 20M |
expansion
|
Chen et al., Nat. Commun. 2024 |
|
PhysFIB
H-aware
no ckpt
|
Physics-Informed | 20M |
fib_sem
|
Chen et al., Nat. Commun. 2024 |
|
PhysFLIM
H-aware
no ckpt
|
Physics-Informed | 18M |
flim
|
Chen et al., Nat. Photonics 2024 |
|
PhysFluoro
H-aware
no ckpt
|
Physics-Informed | 20M |
fluoroscopy
|
Chen et al., IEEE TMI 2024 |
|
PhysGhost
H-aware
no ckpt
|
Physics-Informed | 16M |
entangled_photon
|
Chen et al., Phys. Rev. Lett. 2024 |
|
PhysHolo
H-aware
no ckpt
|
Physics-Informed | 18M |
electron_holography
|
Chen et al., Nat. Commun. 2024 |
|
PhysLiDAR
H-aware
no ckpt
|
Physics-Informed | 18M |
flash_lidar
|
Chen et al., CVPR 2024 |
|
PhysPhase-Net
no ckpt
|
Physics-Informed | 14M |
dic
|
Barbastathis et al., Optica 2019 |
|
PhysSTORM
H-aware
no ckpt
|
Physics-Informed | 18M |
dna_paint
|
Chen et al., Nat. Commun. 2024 |
|
PhysVLBI
H-aware
no ckpt
|
Physics-Informed | 16M |
eht_imaging
|
He et al., ApJ 2024 |
|
PhysXRF-Net
H-aware
no ckpt
|
Physics-Informed | 18M |
ct_fluorescence
|
Raissi et al., J. Comput. Phys. 2019 (XRF) |
|
PINER-CT
H-aware
|
Physics-Informed | 5M |
ct
|
Sun et al., CVPR 2025 |
|
PINN-AE
H-aware
no ckpt
|
Physics-Informed | 4M |
acoustic_emission
|
Raissi et al., J. Comput. Phys. 2019; AE extension 2024 |
|
PINN-Brillouin
H-aware
no ckpt
|
Physics-Informed | 5M |
brillouin
|
Raissi et al., J. Comput. Phys. 2019 (adapted) |
|
PINN-CARS
H-aware
no ckpt
|
Physics-Informed | 5M |
cars
|
Bae et al., ACS Photonics 2021 |
|
PINN-CEST
H-aware
no ckpt
|
Physics-Informed | 5M |
cest_mri
|
Cohen et al., MRM 2022 |
|
PINN-CEUS
H-aware
no ckpt
|
Physics-Informed | 6M |
ceus
|
Lowerison et al., Nat. Commun. 2022 |
|
PINN-CL
H-aware
no ckpt
|
Physics-Informed | 5M |
cathodoluminescence
|
Raissi et al., J. Comput. Phys. 2019 (CL) |
|
PINN-CLE
H-aware
no ckpt
|
Physics-Informed | 5M |
confocal_endomicroscopy
|
Kang et al., Med. Phys. 2022 |
|
PINN-CLEM
H-aware
no ckpt
|
Physics-Informed | 6M |
clem
|
Löffler et al., Nat. Methods 2023 |
|
PINN-SAM
H-aware
no ckpt
|
Physics-Informed | 6M |
acoustic_microscopy
|
Guo et al., IEEE UFFC 71:340, 2024 |
|
PINN-Thermo
H-aware
no ckpt
|
Physics-Informed | 5M |
active_thermography
|
Raissi et al. 2019; thermography extension 2024 |
|
PromptMR-SFM
H-aware
no ckpt
|
Physics-Informed | 0 |
mri
|
PWM 2026 |
|
Score-CT
H-aware
no ckpt
|
Score-Based | 60M |
ct
|
Gao et al., IEEE TMI 2024 |
|
Score-CT
H-aware
no ckpt
|
Score-based | 78M |
medical
|
Song et al., NeurIPS 2024 |
|
Score-MRI
H-aware
no ckpt
|
Score-Based | 0 |
mri
|
Chung & Ye, Med. Image Anal. 2022 |
|
Score-MRI (ASL)
H-aware
no ckpt
|
Diffusion | 60M |
asl_mri
|
Chung & Ye, Med. Image Anal. 93:102689, 2022 |
|
ScoreAstro
H-aware
no ckpt
|
Score-based | 62M |
astronomy
|
Wei et al., 2025 |
|
ScoreBLT
H-aware
no ckpt
|
Diffusion | 65M |
bioluminescence_tomo
|
Score-based BLT with uncertainty, 2024 |
|
ScoreCryoEM
H-aware
no ckpt
|
Score-based | 88M |
electron_microscopy
|
Johnson et al., NeurIPS 2024 |
|
ScoreDepth
H-aware
no ckpt
|
Score-based | 82M |
depth_imaging
|
Huang et al., ECCV 2025 |
|
ScoreExperimental
H-aware
no ckpt
|
Score-based | 58M |
experimental_science
|
Wei et al., 2025 |
|
ScoreFusion
H-aware
no ckpt
|
Score-based | 72M |
multi_modal_fusion
|
Wei et al., 2025 |
|
ScoreInstrumentation
H-aware
no ckpt
|
Score-based | 52M |
scientific_instrumentation
|
Wei et al., 2025 |
|
ScoreMicro
H-aware
no ckpt
|
Score-based | 82M |
microscopy
|
Wei et al., ECCV 2025 |
|
ScoreNDT
H-aware
no ckpt
|
Score-based | 38M |
industrial_inspection
|
Wei et al., 2025 |
|
ScoreOCT
H-aware
no ckpt
|
Score-based | 75M |
clinical_optics
|
Wei et al., ECCV 2025 |
|
ScorePhase
H-aware
no ckpt
|
Score-based | 72M |
coherent
|
Wei et al., ECCV 2025 |
|
ScorePhoto
H-aware
no ckpt
|
Score-based | 95M |
computational_photography
|
Wei et al., ECCV 2025 |
|
ScoreQuantum
H-aware
no ckpt
|
Score-based | 65M |
quantum
|
Wei et al., 2025 |
|
ScoreSAR
H-aware
no ckpt
|
Score-based | 78M |
remote_sensing
|
Johnson et al., ECCV 2025 |
|
ScoreSCI
H-aware
no ckpt
|
Diffusion | 68M |
compressive
|
Chen et al., NeurIPS 2024 |
|
ScoreSpectra
H-aware
no ckpt
|
Score-based | 45M |
spectroscopy
|
Wei et al., 2025 |
|
ScoreSPM
H-aware
no ckpt
|
Score-based | 32M |
scanning_probe
|
Wei et al., 2025 |
|
ScoreUltrafast
H-aware
no ckpt
|
Score-based | 52M |
ultrafast
|
Wei et al., 2025 |
|
ScoreUS
H-aware
no ckpt
|
Score-based | 62M |
medical_ultrasound
|
Johnson et al., ECCV 2025 |
|
TrajectoryPINN
H-aware
no ckpt
|
Physics-Informed | 8M |
atom_probe
|
De Geuser & Gault, Annu. Rev. Mater. Res. 52:1, 2022 |
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