---
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).