---
language:
- en
license: mit
metrics:
- recall
- precision
- f1
pipeline_tag: image-to-3d
tags:
- 3d-human-reconstruction
- human-scene-contact
- monocular-rgb
- mesh-reconstruction
- pose-aware
- icme-2026
---

# GraphiContact: Pose-aware Human-Scene Robust Contact Perception for Interactive Systems

This repository contains the pre-trained checkpoints for **GraphiContact**, a novel framework for monocular vertex-level human-scene contact prediction and 3D human mesh reconstruction.

[**Paper (arXiv)**](https://huggingface.co/papers/2603.20310) | [**Official GitHub Repository**](https://github.com/Aveiro-Lin/GraphiContact)

## Overview

GraphiContact jointly addresses vertex-level contact prediction and single-image 3D human mesh reconstruction. It uses reconstructed body geometry as a scaffold for contact reasoning, integrating pose-aware features with human-scene interaction understanding.

### Key Features

*   **Pose-aware Framework**: Transfers complementary human priors from pretrained Transformer encoders to predict per-vertex human-scene contact on the reconstructed mesh.
*   **SIMU Training Strategy**: Introduces a Single-Image Multi-Infer Uncertainty (SIMU) training strategy with token-level adaptive routing. This simulates occlusion and noisy observations during training while preserving efficient single-branch inference at test time.
*   **Robust Perception**: Specifically designed to handle real-world scenarios with perceptual noise and occlusions, making it suitable for interactive systems like embodied AI and rehabilitation analysis.

<p align="center">
  <img src="https://github.com/Aveiro-Lin/GraphiContact/raw/main/docs/Overview.png" width="850">
</p>

## Installation and Usage

For detailed instructions on environment setup, downloading model weights, and running inference demos, please refer to the [official GitHub repository](https://github.com/Aveiro-Lin/GraphiContact).

## Citation

If you find this work useful for your research, please consider citing the paper:

```bibtex
@inproceedings{lin2026graphicontact,
  title={GraphiContact: Pose-aware Human-Scene Robust Contact Perception for Interactive Systems},
  author={Lin, Aveiro and others},
  booktitle={IEEE International Conference on Multimedia and Expo (ICME)},
  year={2026}
}
```

## License

The research code is released under the **MIT license**. Note that the model has dependencies on the SMPL and MANO models, which are subject to their own [Software Copyright License](https://smpl.is.tue.mpg.de/modellicense) for non-commercial scientific research purposes.