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ResDiffFRG

This repository provides a working demo of ResDiffFRG: Residual Diffusion for Multiple Appropriate Facial Reaction Generation

Paper

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.

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