Public

Flash LiDAR — Public Tier

(5 scenes)

Full-access development tier with all data visible.

Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.

Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.

Reconstructed signals (x_hat) and corrected spec as HDF5.

✓

True spec visible — use these exact values for Scenario III oracle reconstruction.

Parameter	Spec Range	True Value	Unit
spad_jitter	-20.0 – 40.0	10.0	ps
ambient_photon_rate	-2.0 – 4.0	1.0	-
pile_up_distortion	-4.0 – 8.0	2.0	athighflux
pixel_cross_talk	-1.0 – 2.0	0.5	-

Method: CPU_baseline — Mismatch parameter: nominal

5.60 dB

SSIM 0.4704

5.48 dB

SSIM 0.2508

19.14 dB

SSIM 0.2964

Per-scene breakdown (4 scenes)

Scene	PSNR I	SSIM I	PSNR II	SSIM II	PSNR III	SSIM III
scene_00	5.53	0.4672	5.49	0.2492	19.07	0.2950
scene_01	5.81	0.4796	5.98	0.2471	19.15	0.2888
scene_02	5.66	0.4660	5.19	0.2536	19.29	0.3009
scene_03	5.39	0.4690	5.28	0.2531	19.03	0.3011

#	Method	Score	PSNR	SSIM	Consistency	Trust	Source
1	PhysLiDAR + gradient	0.844	36.7	0.977	0.93	✓ Certified	Chen et al., CVPR 2024
2	DiffLiDAR + gradient	0.839	36.83	0.977	0.9	✓ Certified	Gao et al., NeurIPS 2024
3	SwinLiDAR + gradient	0.806	34.0	0.961	0.91	✓ Certified	Wang et al., ICCV 2023
4	TransLiDAR + gradient	0.788	32.96	0.952	0.89	✓ Certified	Li et al., CVPR 2022
5	SPADnet + gradient	0.773	31.04	0.931	0.95	✓ Certified	Lindell et al., SIGGRAPH 2018
6	DnCNN-LiDAR + gradient	0.704	27.55	0.871	0.9	✓ Certified	Peng et al., ECCV 2020
7	NL-Means-LiDAR + gradient	0.675	25.81	0.827	0.93	✓ Certified	Rapp & Goyal, IEEE TCI 2017
8	Coates-Hist + gradient	0.612	23.16	0.737	0.93	✓ Certified	Coates, J. Phys. E 1968
9	MLE-SPAD + gradient	0.528	20.36	0.616	0.89	✓ Certified	Kirmani et al., Science 2014

y H_ideal spec_ranges x_true true_spec

Format: HDF5

Scenes: 5

0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)

PSNR: 40% SSIM: 40% Consistency: 20%