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