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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}
}
``` |