Hidden
Flash LiDAR — Hidden Tier
(5 scenes)Fully blind server-side evaluation — no data download.
What you get
No data downloadable. Algorithm runs server-side on hidden measurements.
How to use
Package algorithm as Docker container / Python script. Submit via link.
What to submit
Containerized algorithm accepting y + H, outputting x_hat + corrected spec.
Parameter Specifications
🔒
True spec hidden — blind evaluation, only ranges available.
| Parameter | Spec Range | Unit |
|---|---|---|
| spad_jitter | -14.0 – 46.0 | ps |
| ambient_photon_rate | -1.4 – 4.6 | - |
| pile_up_distortion | -2.8 – 9.2 | athighflux |
| pixel_cross_talk | -0.7 – 2.3 | - |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffLiDAR + gradient | 0.738 | 31.23 | 0.934 | 0.76 | ✓ Certified | Gao et al., NeurIPS 2024 |
| 2 | PhysLiDAR + gradient | 0.726 | 30.43 | 0.923 | 0.76 | ✓ Certified | Chen et al., CVPR 2024 |
| 3 | SwinLiDAR + gradient | 0.725 | 29.63 | 0.911 | 0.82 | ✓ Certified | Wang et al., ICCV 2023 |
| 4 | TransLiDAR + gradient | 0.703 | 29.18 | 0.903 | 0.75 | ✓ Certified | Li et al., CVPR 2022 |
| 5 | NL-Means-LiDAR + gradient | 0.621 | 24.82 | 0.796 | 0.77 | ✓ Certified | Rapp & Goyal, IEEE TCI 2017 |
| 6 | SPADnet + gradient | 0.499 | 19.97 | 0.597 | 0.8 | ✓ Certified | Lindell et al., SIGGRAPH 2018 |
| 7 | Coates-Hist + gradient | 0.477 | 19.49 | 0.574 | 0.76 | ✓ Certified | Coates, J. Phys. E 1968 |
| 8 | DnCNN-LiDAR + gradient | 0.449 | 18.63 | 0.531 | 0.75 | ✓ Certified | Peng et al., ECCV 2020 |
| 9 | MLE-SPAD + gradient | 0.397 | 16.34 | 0.418 | 0.83 | ✓ Certified | Kirmani et al., Science 2014 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%