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.
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Scene Stylization | Synthetic, LLFF, and Tanks & Temples (test) | Ref-LPIPS0.339 | 8 | |
| 3D Texture Transfer | LLFF and Tanks & Temples | SSIM35 | 7 | |
| Scene Stylization | User Study 10 stylization sequences | Average Rank1.73 | 4 | |
| Style Transfer | LLFF and T&T | ArtFID45.85 | 4 | |
| 3D Style Transfer | trex scene rendered from 30 viewpoints | SIFID (RGB)1.59 | 4 | |
| 3D Style Transfer Multi-view Consistency | LLFF and T&T (test) | LPIPS (Short-term)0.099 | 4 | |
| 3D Style Transfer | fern scene rendered from 30 viewpoints | SIFID (RGB)1.75 | 4 | |
| Artistic Style Transfer Visual Appeal Assessment | User Study 12 stylized scenes | Average Rank3.17 | 4 |