---
license: cc-by-nc-sa-4.0
tags:
- audio-visual-learning
- neural-radiance-fields
- neural-acoustic-fields
- spatial-audio
- nerfstudio
- pytorch
datasets:
- RAF
- SoundSpaces
---

Official pretrained model weights for NeRAF from the paper: **"NeRAF: 3D Scene Infused Neural Radiance and Acoustic Fields"** (ICLR 2025).

This repository contains pretrained checkpoints for RAF dataset and 6 SoundSpaces scenes.

For training, evaluation, and usage instructions please see the official codebase:
👉 https://github.com/AmandineBtto/NeRAF


You can download all weights using:

```bash
huggingface-cli download AmandineBtto/NeRAF --local-dir weights/NeRAF
```

If you use these weights, please cite:

```
@inproceedings{
    brunetto2025neraf,
    title={Ne{RAF}: 3D Scene Infused Neural Radiance and Acoustic Fields},
    author={Amandine Brunetto and Sascha Hornauer and Fabien Moutarde},
    booktitle={The Thirteenth International Conference on Learning Representations},
    year={2025},
    url={https://openreview.net/forum?id=njvSBvtiwp}
}
```