Public
STEM — Public Tier
(3 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 |
|---|---|---|---|
| probe_size | -0.1 – 0.2 | 0.05 | Å |
| convergence_angle | -0.5 – 1.0 | 0.25 | mrad |
| scan_distortion | -0.5 – 1.0 | 0.25 | % |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
22.54 dB
SSIM 0.3460
Scenario II (Mismatch)
18.51 dB
SSIM 0.1083
Scenario III (Oracle)
20.11 dB
SSIM 0.1956
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 23.51 | 0.3680 | 18.32 | 0.1039 | 20.03 | 0.1989 |
| scene_01 | 20.04 | 0.2917 | 18.86 | 0.1280 | 20.03 | 0.1975 |
| scene_02 | 23.28 | 0.3575 | 18.45 | 0.0937 | 20.28 | 0.1860 |
| scene_03 | 23.32 | 0.3669 | 18.41 | 0.1076 | 20.10 | 0.2001 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | SwinIR + gradient | 0.761 | 31.18 | 0.933 | 0.88 | ✓ Certified | Liang et al., ICCVW 2021 |
| 2 | Noise2Void + gradient | 0.754 | 29.96 | 0.916 | 0.94 | ✓ Certified | Krull et al., CVPR 2019 |
| 3 | BM3D + gradient | 0.673 | 26.19 | 0.837 | 0.88 | ✓ Certified | Dabov et al., IEEE TIP 2007 |
| 4 | Wiener Filter + gradient | 0.586 | 22.46 | 0.709 | 0.89 | ✓ Certified | Analytical baseline |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
Dataset
Format: HDF5
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%