Public
Streak Camera Imaging — Public Tier
(5 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| sweep_nonlinearity | -1.0 – 2.0 | 0.5 | - |
| temporal_resolution | 0.2 – 2.6 | 1.4 | ps |
| dynamic_range_saturation | -2.0 – 4.0 | 1.0 | - |
| trigger_jitter | -2.0 – 4.0 | 1.0 | ps |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
7.84 dB
SSIM 0.3015
Scenario II (Mismatch)
7.84 dB
SSIM 0.1991
Scenario III (Oracle)
10.94 dB
SSIM 0.3682
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 7.64 | 0.2894 | 7.66 | 0.2019 | 10.79 | 0.3739 |
| scene_01 | 7.65 | 0.3040 | 7.65 | 0.1960 | 10.77 | 0.3632 |
| scene_02 | 8.07 | 0.3073 | 8.08 | 0.2002 | 11.17 | 0.3690 |
| scene_03 | 8.02 | 0.3052 | 7.95 | 0.1985 | 11.04 | 0.3666 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | UltraFormer + gradient | 0.781 | 32.71 | 0.95 | 0.87 | ✓ Certified | Ultrafast transformer, 2024 |
| 2 | AL-DL + gradient | 0.763 | 31.59 | 0.938 | 0.86 | ✓ Certified | Yao et al., Photon. Res. 2021 |
| 3 | Temporal-U-Net + gradient | 0.754 | 30.56 | 0.925 | 0.89 | ✓ Certified | 3D/Temporal U-Net variant |
| 4 | CUP-Net + gradient | 0.739 | 29.77 | 0.913 | 0.88 | ✓ Certified | Parker et al., 2021 |
| 5 | Unfolded-CUP + gradient | 0.727 | 28.47 | 0.89 | 0.93 | ✓ Certified | CUP algorithm unfolding |
| 6 | DiffusionUltrafast + gradient | 0.709 | 28.15 | 0.884 | 0.87 | ✓ Certified | Zhang et al., 2024 |
| 7 | ScoreUltrafast + gradient | 0.688 | 26.75 | 0.852 | 0.9 | ✓ Certified | Wei et al., 2025 |
| 8 | PnP-FFDNet + gradient | 0.670 | 26.05 | 0.833 | 0.88 | ✓ Certified | Yuan et al., 2020 |
| 9 | Temporal Filtering + gradient | 0.667 | 25.36 | 0.813 | 0.94 | ✓ Certified | Analytical baseline |
| 10 | PnP-ADMM + gradient | 0.637 | 24.48 | 0.785 | 0.89 | ✓ Certified | ADMM + denoiser prior |
| 11 | TwIST + gradient | 0.614 | 23.21 | 0.739 | 0.93 | ✓ Certified | Bioucas-Dias & Figueiredo, IEEE TIP 2007 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
Dataset
Format: HDF5
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%