Dev

Streak Camera Imaging — Dev Tier

(5 scenes)

Blind evaluation tier — no ground truth available.

What you get

Measurements (y), ideal forward operator (H), and spec ranges only.

How to use

Apply your pipeline from the Public tier. Use consistency as self-check.

What to submit

Reconstructed signals and corrected spec. Scored server-side.

Parameter Specifications

🔒

True spec hidden — estimate parameters from spec ranges below.

Parameter Spec Range Unit
sweep_nonlinearity -1.2 – 1.8 -
temporal_resolution 0.04 – 2.44 ps
dynamic_range_saturation -2.4 – 3.6 -
trigger_jitter -2.4 – 3.6 ps

Dev Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 UltraFormer + gradient 0.754 31.26 0.934 0.84 ✓ Certified Ultrafast transformer, 2024
2 Temporal Filtering + gradient 0.644 25.21 0.809 0.84 ✓ Certified Analytical baseline
3 AL-DL + gradient 0.639 24.84 0.797 0.86 ✓ Certified Yao et al., Photon. Res. 2021
4 Temporal-U-Net + gradient 0.636 25.23 0.809 0.8 ✓ Certified 3D/Temporal U-Net variant
5 Unfolded-CUP + gradient 0.584 23.05 0.733 0.8 ✓ Certified CUP algorithm unfolding
6 PnP-FFDNet + gradient 0.584 22.84 0.725 0.83 ✓ Certified Yuan et al., 2020
7 PnP-ADMM + gradient 0.584 22.43 0.708 0.88 ✓ Certified ADMM + denoiser prior
8 CUP-Net + gradient 0.570 21.85 0.684 0.89 ✓ Certified Parker et al., 2021
9 ScoreUltrafast + gradient 0.548 21.05 0.648 0.89 ✓ Certified Wei et al., 2025
10 TwIST + gradient 0.534 20.77 0.635 0.86 ✓ Certified Bioucas-Dias & Figueiredo, IEEE TIP 2007
11 DiffusionUltrafast + gradient 0.495 19.37 0.568 0.87 ✓ Certified Zhang et al., 2024

Visible Data Fields

y H_ideal spec_ranges

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%
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