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Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization

About

Current 3D scene stylization methods transfer textures and colors as styles using arbitrary style references, lacking meaningful semantic correspondences. We introduce Reference-Based Non-Photorealistic Radiance Fields (Ref-NPR) to address this limitation. This controllable method stylizes a 3D scene using radiance fields with a single stylized 2D view as a reference. We propose a ray registration process based on the stylized reference view to obtain pseudo-ray supervision in novel views. Then we exploit semantic correspondences in content images to fill occluded regions with perceptually similar styles, resulting in non-photorealistic and continuous novel view sequences. Our experimental results demonstrate that Ref-NPR outperforms existing scene and video stylization methods regarding visual quality and semantic correspondence. The code and data are publicly available on the project page at https://ref-npr.github.io.

Yuechen Zhang, Zexin He, Jinbo Xing, Xufeng Yao, Jiaya Jia• 2022

Related benchmarks

TaskDatasetResultRank
Scene StylizationSynthetic, LLFF, and Tanks & Temples (test)
Ref-LPIPS0.339
8
3D Texture TransferLLFF and Tanks & Temples
SSIM35
7
Scene StylizationUser Study 10 stylization sequences
Average Rank1.73
4
Style TransferLLFF and T&T
ArtFID45.85
4
3D Style Transfertrex scene rendered from 30 viewpoints
SIFID (RGB)1.59
4
3D Style Transfer Multi-view ConsistencyLLFF and T&T (test)
LPIPS (Short-term)0.099
4
3D Style Transferfern scene rendered from 30 viewpoints
SIFID (RGB)1.75
4
Artistic Style Transfer Visual Appeal AssessmentUser Study 12 stylized scenes
Average Rank3.17
4
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