AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis

PyTorch implementation for the paper "AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis (ICCV 2021)".
Authors: Yudong Guo, Keyu Chen, Sen Liang, Yong-Jin Liu, Hujun Bao and Juyong Zhang.

Prerequisites

You can create an anaconda environment called adnerf with:

conda env create -f environment.yml
conda activate adnerf

PyTorch3D

Recommend install from a local clone

git clone https://github.com/facebookresearch/pytorch3d.git
cd pytorch3d && pip install -e .

Basel Face Model 2009

Put "01_MorphableModel.mat" to data_util/face_tracking/3DMM/; cd data_util/face_tracking; run
```
python convert_BFM.py
```

Train AD-NeRF

Data Preprocess ($id Obama for example)
```
bash process_data.sh Obama
```
- Input: A portrait video at 25fps containing voice audio. (dataset/vids/$id.mp4)
- Output: folder dataset/$id that contains all files for training
Train Two NeRFs (Head-NeRF and Torso-NeRF)
- Train Head-NeRF with command
```
python NeRFs/HeadNeRF/run_nerf.py --config dataset/$id/HeadNeRF_config.txt
```
- Copy latest trainied model from dataset/$id/logs/$id_head to dataset/$id/logs/$id_com
- Train Torso-NeRF with command
```
python NeRFs/TorsoNeRF/run_nerf.py --config dataset/$id/TorsoNeRF_config.txt
```
- You may need the pretrained models to avoid bad initialization. #3

Run AD-NeRF for rendering

Reconstruct original video with audio input

python NeRFs/TorsoNeRF/run_nerf.py --config dataset/$id/TorsoNeRFTest_config.txt --aud_file=dataset/$id/aud.npy --test_size=300

Drive the target person with another audio input

python NeRFs/TorsoNeRF/run_nerf.py --config dataset/$id/TorsoNeRFTest_config.txt --aud_file=${deepspeechfile.npy} --test_size=-1

Citation

If you find our work useful in your research, please consider citing our paper:

@inproceedings{guo2021adnerf,
  title={AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis},
  author={Yudong Guo and Keyu Chen and Sen Liang and Yongjin Liu and Hujun Bao and Juyong Zhang},
  booktitle={IEEE/CVF International Conference on Computer Vision (ICCV)},
  year={2021}
}

If you have questions, feel free to contact gyd2011@mail.ustc.edu.cn.

Acknowledgments