Hidden
4D-STEM — Hidden Tier
(3 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 |
|---|---|---|
| camera_length | -1.4 – 4.6 | % |
| center_offset | -0.7 – 2.3 | pixels |
| elliptical_distortion | -0.0035 – 0.0115 |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffED + gradient | 0.723 | 29.78 | 0.913 | 0.8 | ✓ Certified | Gao et al., NeurIPS 2024 |
| 2 | PhysED + gradient | 0.684 | 27.13 | 0.861 | 0.84 | ✓ Certified | Chen et al., Nat. Commun. 2024 |
| 3 | SwinED + gradient | 0.684 | 27.17 | 0.862 | 0.84 | ✓ Certified | Wang et al., npj Comput. Mater. 2023 |
| 4 | TransED + gradient | 0.612 | 23.77 | 0.76 | 0.85 | ✓ Certified | Li et al., Nat. Commun. 2022 |
| 5 | MicroED + gradient | 0.602 | 24.04 | 0.77 | 0.77 | ✓ Certified | Shi et al., eLife 2013 |
| 6 | PhaseGAN-ED + gradient | 0.536 | 20.8 | 0.636 | 0.87 | ✓ Certified | Zimmermann et al., Sci. Adv. 2021 |
| 7 | PEDT + gradient | 0.456 | 18.92 | 0.546 | 0.74 | ✓ Certified | Kolb et al., Ultramicroscopy 2007 |
| 8 | Direct-Methods + gradient | 0.437 | 17.37 | 0.469 | 0.88 | ✓ Certified | Hauptman & Karle, Nobel Prize 1985 |
| 9 | DnCNN-ED + gradient | 0.430 | 17.91 | 0.496 | 0.76 | ✓ Certified | Cherukara et al., npj Comput. Mater. 2018 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%