| # ResDiffFRG | |
| This repository provides a working demo of **ResDiffFRG: Residual Diffusion for Multiple Appropriate Facial Reaction Generation** | |
| [Paper](https://doi.org/10.48550/arXiv.2609.33749) | |
| ## Requirements | |
| - Python >= 3.10 | |
| - PyTorch | |
| - NumPy | |
| A CUDA GPU is recommended. | |
| ## Running the demo | |
| From this directory, run: | |
| python sample_run.py | |
| The script loads the anonymised speaker example provided in the sample_data folder. It generates 10 25-dimensinoal facial reactions using ResDiffFRG and saves the output as a .npy file to the results folder. |