Project page: https://www.cs.cornell.edu/projects/arf/

Citation:

@misc{zhang2022arf,
      title={ARF: Artistic Radiance Fields}, 
      author={Kai Zhang and Nick Kolkin and Sai Bi and Fujun Luan and Zexiang Xu and Eli Shechtman and Noah Snavely},
      year={2022},
      booktitle={ECCV},
}

. ./create_env.sh

. ./download_data.sh

cd opt && . ./try_{llff/tnt/custom}.sh [scene_name] [style_id]

• Select {llff/tnt/custom} according to your data type. For example, use llff for flower scene, tnt for Playground scene, and custom for lego scene.
• [style_id].jpg is the style image inside ./data/styles. For example, 14.jpg is the starry night painting.
• Note that a photorealistic radiance field will first be reconstructed for each scene, if it doesn't exist on disk. This will take extra time.

The optimized artistic radiance field is inside opt/ckpt_arf/[scene_name]_[style_id], while the photorealistic one is inside opt/ckpt_svox2/[scene_name].

Please follow the steps on Plenoxel to prepare your own custom data.

• ARF-TensoRF: to be released; stay tuned.
• ARF-NeRF: to be released; stay tuned.

We would like to thank Plenoxel authors for open-sourcing their implementations.