Add dataset card
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README.md
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---
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license: mit
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pretty_name: DiffReg-PBIR — Stanford-ORB submission
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tags:
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- inverse-rendering
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- stanford-orb
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- relighting
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task_categories:
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- image-to-3d
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---
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# DiffReg-PBIR — Stanford-ORB benchmark submission
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Predicted outputs and evaluation scores for **DiffReg-PBIR** on the
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[Stanford-ORB](https://stanfordorb.github.io/) inverse-rendering benchmark
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(full 42-scene split).
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**Paper:** *Diffusion-Based Material Regularization for Physics-Based Inverse Rendering* (ECCV 2026)
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- Project page: https://gerwang.github.io/diffusion-regularized-inverse-rendering/
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- arXiv: https://arxiv.org/abs/2606.31065
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## Contents (`submission_DiffReg-PBIR.zip`, ~6.8 GB uncompressed)
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```
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submission_DiffReg-PBIR/
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predictions/<scene>/
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mesh.obj # reconstructed mesh (shape task)
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view/*.exr # HDR novel-view renders
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light/*.exr # HDR novel-scene relit renders
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geometry/*_image.zbuf.exr, *_image.normal.exr # Z-depth + camera-space normals
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material/*_albedo.exr # albedo
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test_results.json # paths in the official examples/test/mymethod.json schema
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# output_* relative to package root
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# target_* relative to orb_data/ (= blender_HDR/ + ground_truth/)
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scores.json # evaluation scores (upstream scripts.test output)
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```
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## Results (full split) vs. previous leaderboard best (Neural-PBIR)
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| Metric | DiffReg-PBIR | Neural-PBIR |
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|---|---|---|
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| Relight PSNR-H ↑ | **27.22** | 26.01 |
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| Relight PSNR-L ↑ | **34.98** | 33.26 |
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| Relight SSIM ↑ | **0.981** | 0.979 |
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| Relight LPIPS ↓ | **0.021** | 0.023 |
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| Novel-view PSNR-H ↑ | **29.58** | 28.82 |
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| Normal (angular) ↓ | **0.014** | 0.06 |
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Reproduce: point `orb_data/` at the official Stanford-ORB data root and run
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`python scripts/test.py -i test_results.json -o scores.json -s full` from the
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upstream repo. Prediction EXRs are 3-channel RGB, HDR only (the eval derives LDR).
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