Public
ToF Camera — 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 |
|---|---|---|---|
| modulation_freq | 19.9 – 20.2 | 20.05 | MHz |
| multipath | -5.0 – 10.0 | 2.5 | % |
| phase_nonlinearity | -2.0 – 4.0 | 1.0 | deg |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
5.60 dB
SSIM 0.4704
Scenario II (Mismatch)
5.45 dB
SSIM 0.2015
Scenario III (Oracle)
18.47 dB
SSIM 0.2342
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 5.53 | 0.4672 | 5.46 | 0.1995 | 18.40 | 0.2341 |
| scene_01 | 5.81 | 0.4796 | 6.03 | 0.1934 | 18.47 | 0.2267 |
| scene_02 | 5.66 | 0.4660 | 5.08 | 0.2092 | 18.61 | 0.2372 |
| scene_03 | 5.39 | 0.4690 | 5.23 | 0.2041 | 18.40 | 0.2387 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | MPI-Former + gradient | 0.768 | 31.5 | 0.937 | 0.89 | ✓ Certified | Multi-path interference correction, 2023 |
| 2 | DeepToF + gradient | 0.749 | 30.66 | 0.926 | 0.86 | ✓ Certified | Marco et al., ECCV 2018 |
| 3 | PnP-ToF + gradient | 0.690 | 26.46 | 0.844 | 0.94 | ✓ Certified | PnP with depth prior for ToF |
| 4 | Phase Unwrap + gradient | 0.595 | 22.42 | 0.708 | 0.94 | ✓ Certified | Bamji et al., IEEE SSC 2015 |
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%