S2RF: Semantically Stylized Radiance Fields
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Abstract (arXiv)
We present our method for transferring style from any arbitrary image(s) to object(s) within a 3D scene. Our primary objective is to offer more control in 3D scene stylization, facilitating the creation of customizable and stylized scene images from arbitrary viewpoints. To achieve this, we propose a novel approach that incorporates nearest neighborhood-based loss, allowing for flexible 3D scene reconstruction while effectively capturing intricate style details and ensuring multi-view consistency.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 22 of its 27 references that are in the map. First posted on arXiv 3 Sep 2023.
Builds on
22 of 27 references.
References · 22
- 2023Segment Anythingcited by 8,158
- 2020End-to-End Object Detection with Transformerscited by 7,384
- 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,607
- 2019Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelinescited by 672
- 2021FastNeRF: High-Fidelity Neural Rendering at 200FPScited by 510
- 2019SynSin: End-to-end View Synthesis from a Single Imagecited by 364
- 2021Text2Mesh: Text-Driven Neural Stylization for Meshescited by 332
- 2022MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architecturescited by 308
- 2023Segment Anything Model for Medical Image Analysis: an Experimental Studycited by 291
- 2022ARF: Artistic Radiance Fieldscited by 147
- 2022SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fieldscited by 144
- 2022StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learningcited by 140
10 more
- 2022EfficientNeRF: Efficient Neural Radiance Fieldscited by 110
- 2021Stylizing 3D Scene via Implicit Representation and HyperNetworkcited by 103
- 2023SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Fieldcited by 93
- 2023SAM on Medical Images: A Comprehensive Study on Three Prompt Modescited by 81
- 2021Learning to Stylize Novel Viewscited by 76
- 20213DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variationscited by 58
- 2021StyleMesh: Style Transfer for Indoor 3D Scene Reconstructionscited by 58
- 20213D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Imagecited by 45
- 2022Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylizationcited by 35
- 20224K-NeRF: High Fidelity Neural Radiance Fields at Ultra High Resolutionscited by 23
Built on by
Citing papers per year: 2024: 3.
3 papers.
- 2024StylizedGS: Controllable Stylization for 3D Gaussian Splattingcited by 23
- 2024Geometry Transfer for Stylizing Radiance Fieldscited by 16
- 2024ICE-G: Image Conditional Editing of 3D Gaussian Splatscited by 11
- 2024ICE-G: Image Conditional Editing of 3D Gaussian Splats12 Jun 2024
- 2024StylizedGS: Controllable Stylization for 3D Gaussian Splatting8 Apr 2024
- 2024Geometry Transfer for Stylizing Radiance Fields1 Feb 2024