# HOIDiNi Dataset: Human-Object Interaction through Diffusion Noise Optimization

[![arXiv](https://img.shields.io/badge/arXiv-2506.15625-b31b1b.svg)](https://arxiv.org/abs/2506.15625)
[![Project Page](https://img.shields.io/badge/Project-Website-1e90ff.svg)](https://hoidini.github.io/)
[![Video](https://img.shields.io/badge/Video-YouTube-ff0000.svg?logo=youtube&logoColor=white)](https://youtu.be/lN1260WEe7U)

## Dataset Description

This repository contains the datasets and trained models for HOIDiNi, a text-driven diffusion framework for synthesizing realistic and plausible human-object interaction (HOI).

### Key Features
- **Text-driven HOI generation**: Generate human-object interactions from natural language descriptions
- **Two-phase optimization**: Object-centric phase for contact planning, human-centric phase for full-body motion
- **Diffusion Noise Optimization (DNO)**: Test-time optimization in the noise space of pretrained diffusion models
- **High accuracy**: Millimeter-level precision in contact generation

## Repository Structure

```
├── models/                                    # Trained model weights
│   └── cphoi_05011024_c15p100_v0/            # CPHOI model experiment
│       ├── model000120000.pt                 # Main CPHOI model (748MB)
│       ├── eps.pt                            # Normalization parameters
│       ├── mean.pt                           # Mean parameters
│       └── args.json                         # Training arguments
├── datasets/                                  # Compressed datasets
│   ├── GRAB_RETARGETED_compressed/          # Compressed GRAB dataset (2.7GB)
│   └── MANO_SMPLX_vertex_ids.pkl            # Hand-object mapping data
└── README.MD                                  # Setup and usage instructions
```

## Quick Start

1. **Clone this dataset repository**:
```bash
git clone https://huggingface.co/datasets/Roey/hoidini
cd hoidini
```

2. **Set environment variables**:
```bash
export GRAB_DATA_PATH=$(pwd)/datasets/GRAB_RETARGETED_compressed
export MANO_SMPLX_VERTEX_IDS_PATH=$(pwd)/datasets/MANO_SMPLX_vertex_ids.pkl
```

3. **Use the trained models**:
The models are available in the `models/cphoi_05011024_c15p100_v0/` directory. For code and usage instructions, please refer to the main [HOIDiNi repository](https://github.com/roeyronen/hoidini).

## Model Details

- **Architecture**: Contact-Pairs Human-Object Interaction (CPHOI) diffusion model
- **Training Data**: GRAB dataset with contact pair annotations
- **Input**: Text descriptions + object geometry
- **Output**: Full-body human motion + object trajectories + contact pairs
- **Compression**: Dataset compressed from 67GB to 2.7GB (24.8x reduction)

## Citation

```bibtex
@article{ron2025hoidini,
  title={HOIDiNi: Human-Object Interaction through Diffusion Noise Optimization},
  author={Ron, Roey and Tevet, Guy and Sawdayee, Haim and Bermano, Amit H},
  journal={arXiv preprint arXiv:2506.15625},
  year={2025}
}
```

## License

This project is licensed under the MIT License.

## Links

- **Project Page**: [hoidini.github.io](https://hoidini.github.io/)
- **Paper**: [arXiv:2506.15625](https://arxiv.org/abs/2506.15625)
- **Video**: [YouTube](https://youtu.be/lN1260WEe7U)