susanliang/RWAVS

AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis

Susan Liang, Chao Huang, Yapeng Tian, Anurag Kumar, Chenliang Xu

RWAVS Dataset

We provide the Real-World Audio-Visual Scene (RWAVS) Dataset.

1. The dataset can be downloaded from this Hugging Face repository.

2. After you download the dataset, you can decompress the RWAVS_Release.zip.

   unzip RWAVS_Release.zip
   cd release/
   

3. The data is organized with the following directory structure.

   ./release/
   ├── 1
   │   ├── binaural_syn_re.wav
   │   ├── feats_train.pkl
   │   ├── feats_val.pkl
   │   ├── frames
   │   │   ├── 00001.png
   |   |   ├── ...
   │   │   ├── 00616.png
   │   ├── source_syn_re.wav
   │   ├── transforms_scale_train.json
   │   ├── transforms_scale_val.json
   │   ├── transforms_train.json
   │   └── transforms_val.json
   ├── ...
   ├── 13
   └── position.json
   

   The dataset contains 13 scenes indexed from 1 to 13. For each scene, we provide

   • transforms_train.json: camera poses for training.
   • transforms_val.json: camera poses for evaluation. We split the data into train and val subsets with 80% data for training and the rest for evaluation.
   • transforms_scale_train.json: normalized camera poses for training. We scale 3D coordindates to $[-1, 1]^3$.
   • transforms_scale_val.json: normalized camera poses for evaluation.
   • frames: corresponding video frames for each camera pose.
   • source_syn_re.wav: single-channel audio emitted by the sound source.
   • binaural_syn_re.wav: two-channel audio captured by the binaural microphone. We synchronize source_syn_re.wav and binaural_syn_re.wav and resample them to $22050$ Hz.
   • feats_train.pkl: extracted vision and depth features at each camera pose for training. We rely on V-NeRF to synthesize vision and depth images for each camera pose. We then use a pre-trained encoder to extract features from rendered images.
   • feats_val.pkl: extracted vision and depth features at each camera pose for inference.
   • position.json: normalized 3D coordinates of the sound source.

   Please note that some frames may not have corresponding camera poses because COLMAP fails to estimate the camera parameters of these frames.

Citation

@inproceedings{liang23avnerf,
 author = {Liang, Susan and Huang, Chao and Tian, Yapeng and Kumar, Anurag and Xu, Chenliang},
 booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
 title = {AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis},
 year = {2023}
}

Contact

If you have any comments or questions, feel free to contact Susan Liang and Chao Huang.