physic-eval-release / README.md
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---
license: other
license_name: physic-noncommercial-research
pretty_name: PhySIC evaluation release
size_categories:
- n<1K
tags:
- 3d-human-pose
- human-scene-interaction
- smpl-x
- contact-estimation
---
# PhySIC evaluation release
Per-frame predictions of [PhySIC](https://github.com/YuxuanSnow/Phy-SIC)
(SIGGRAPH Asia 2025, [arXiv](https://arxiv.org/abs/2510.11649)) on
**PROX-quantitative** (178 frames) and **RICH** (100 frames), with the
reconstructed scene each one was optimised against. They reproduce the paper's
Table 2 with the evaluation code in the repository's
[`eval_release/`](https://github.com/YuxuanSnow/Phy-SIC/tree/main/eval_release),
which downloads this data on first run.
## What is here
```
release_data/prox/<recording>/<frame>.npz compact tier, 15 MB
release_data/rich/<frame>.npz 9.8 MB
release_data_full/prox/<recording>/<frame>.npz full scene clouds, 7.6 GB
release_data_full/rich/<frame>.npz 5.6 GB
```
Both tiers hold the same predictions and give identical numbers. The compact
tier keeps the scene points the contact metric can reach (~3.6k per PROX frame,
~4.5k per RICH frame); the full tier is the complete reconstructed cloud
(~2.0M / ~2.6M points, floor plane included).
## Per-frame fields
| field | what it is |
|---|---|
| `init_*`, `final_*` | SMPL-X parameters (betas + 6D rotations) and camera translation, before and after scene-aware optimisation |
| `K` | predicted pinhole intrinsics |
| `contact_deco` | the image-based contact prediction the optimiser was given |
| `scene_points`, `scene_normals` | reconstructed scene, metric scale, camera frame |
| `visibility_mask` | body vertices projecting into the segmented person (PROX only) |
| `contact_pred_reference` | contact mask as computed by the pipeline, re-derived and checked by the evaluation |
No dataset imagery, depth maps, meshes or ground truth are included. Ground
truth comes from your own downloads of [PROX](https://prox.is.tue.mpg.de) and
[RICH](https://rich.is.tue.mpg.de), and the bodies use
[SMPL-X](https://smpl-x.is.tue.mpg.de), each under its own licence.
## Licence
Released for non-commercial scientific research only, under the same terms as
PROX and RICH.
## Citation
```bibtex
@inproceedings{ym2025physic,
author = {Yalandur Muralidhar, Pradyumna and Xue, Yuxuan and Xie, Xianghui and Kostyrko, Margaret and Pons-Moll, Gerard},
title = {PhySIC: Physically Plausible 3D Human-Scene Interaction and Contact from a Single Image},
journal = {SIGGRAPH Asia 2025 Conference Papers},
year = {2025},
}
```