Geometry Transfer for Stylizing Radiance Fields
Hyunyoung Jung, Seonghyeon Nam, Nikolaos Sarafianos, Sungjoo Yoo, Alexander Sorkine-Hornung, Rakesh Ranjan
2024Year
4Top-tier citations
Abstract
https://hyblue.github.io/geo-srf 3D Scenes Stylized Novel View Stylized Novel View Figure 1. Given a reference 3D scene and a pair of style guides: an RGB image and a depth map, we coherently stylize both the scene's appearance and shape to best express the given style.
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Cited by top-tier papers4
- Multi-StyleGS: Stylized Gaussian Splatting with Multiple StylesYangkai Lin, Jiabao Lei, Kui JiaAAAI 2025 · 5 citations
- DiffArtist: Towards Structure and Appearance Controllable Image StylizationRuixiang Jiang, Chang Wen ChenACM MM 2025 · 4 citations
- FantasyStyle: Controllable Stylized Distillation for 3D Gaussian SplattingYitong Yang, Yinglin Wang, Changshuo Wang, Huajie Wang et al.AAAI 2026 · 2 citations
- GT2-GS: Geometry-aware Texture Transfer for Gaussian SplattingWenjie Liu, Zhongliang Liu, Junwei Shu, Changbo Wang et al.AAAI 2026 · 1 citation
Builds on31
- Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance FieldsJonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan et al.CVPR 2022 · 1,603 citations
- SinGAN: Learning a Generative Model From a Single Natural ImageTamar Rott Shaham, Tali Dekel, Tomer MichaeliICCV 2019 · 933 citations
- Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular VideoEdgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer et al.ICCV 2021 · 617 citations
- Instruct-NeRF2NeRF: Editing 3D Scenes with InstructionsAyaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski et al.ICCV 2023 · 544 citations
- Dynamic View Synthesis from Dynamic Monocular VideoChen Gao, Ayush Saraf, Johannes Kopf, Jia-Bin HuangICCV 2021 · 522 citations
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