Dev

Panorama — 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
focus_step -2.4 – 3.6 μm
registration -0.6 – 0.9 pixels
exposure_variation -3.6 – 5.4 %

Dev Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 PanoFormer + gradient 0.726 29.83 0.914 0.81 ✓ Certified Image stitching transformer, 2024
2 APAP + gradient 0.655 25.26 0.81 0.89 ✓ Certified Zaragoza et al., CVPR 2013
3 UDIS + gradient 0.649 25.01 0.803 0.89 ✓ Certified Nie et al., ICCV 2021
4 SIFT-RANSAC + gradient 0.599 23.01 0.731 0.88 ✓ Certified Lowe, IJCV 2004

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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