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AmandineBtto/NeRAF
NeRAF is a machine learning model from AmandineBtto. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-sa-4.0.
Official pretrained model weights for NeRAF from the paper: "NeRAF: 3D Scene Infused Neural Radiance and Acoustic Fields" (ICLR 2025).
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Updated Mar 11, 2026
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From the Hugging Face model README
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:
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}
}