Hidden
Light Field — 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 |
|---|---|---|
| microlens_pitch | -0.35 – 1.15 | μm |
| main_lens_f | -0.07 – 0.23 | mm |
| vignetting | -2.1 – 6.9 | % |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DistgSSR + gradient | 0.649 | 26.39 | 0.843 | 0.74 | ✓ Certified | Wang et al., CVPR 2022 |
| 2 | LFNet + gradient | 0.603 | 24.06 | 0.771 | 0.77 | ✓ Certified | Wang et al., IEEE TPAMI 2020 |
| 3 | Shift-and-Sum + gradient | 0.489 | 19.65 | 0.582 | 0.8 | ✓ Certified | Ng et al., Stanford Tech Report 2005 |
| 4 | PnP-LF + gradient | 0.470 | 18.61 | 0.53 | 0.86 | ✓ Certified | PnP-ADMM with angular prior |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%