ARF: Artistic Radiance Fields

Kai Zhang1,
Nick Kolkin2,
Sai Bi2,
Fujun Luan2,
Zexiang Xu2,
Eli Shechtman2,
Noah Snavely1
1Cornell University 2Adobe Research
ECCV 2022
Paper arXiv Code & Data

We create high-quality artistic 3D content by transferring the style of an exemplar image, such as a painting or sketch, to NeRF and its variants.

Our results on forward-facing captures

Our results on 360 captures

Renderings from pre-stylized photorealistic radiance fields

Gallery of our results [Click]

Comparative evaluations & Ablation studies [Click]

@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},
}

Acknowledgements: We would like to thank Adobe artist Daichi Ito for helpful discussions about 3D artistic styles. The website template is borrowed from Nerfies.