mlsanityData to 7 Oct 2026

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

arXiv 2212.02766 ↗First posted 6 Dec 2022cs.CVcited by 35

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Abstract (arXiv)

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.

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). Builds on 33 of its 51 references that are in the map. First posted on arXiv 6 Dec 2022.

Builds on

33 of 51 references.

References · 33

  1. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  2. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  3. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  4. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  5. 2015ShapeNet: An Information-Rich 3D Model Repositorycited by 2,880
  6. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
  7. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,607
  8. 2022TensoRF: Tensorial Radiance Fieldscited by 1,275
  9. 2020NeRF++: Analyzing and Improving Neural Radiance Fieldscited by 857
  10. 2021Depth-supervised NeRF: Fewer Views and Faster Training for Freecited by 732
  11. 2022Block-NeRF: Scalable Large Scene Neural View Synthesiscited by 720
  12. 2019Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelinescited by 672
21 more
  1. 2022Point-NeRF: Point-based Neural Radiance Fieldscited by 503
  2. 2021CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fieldscited by 369
  3. 2017Universal Style Transfer via Feature Transformscited by 352
  4. 2019Texture Fields: Learning Texture Representations in Function Spacecited by 210
  5. 2022SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Imagecited by 165
  6. 2022ARF: Artistic Radiance Fieldscited by 147
  7. 2022StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learningcited by 140
  8. 2018A Closed-form Solution to Photorealistic Image Stylizationcited by 133
  9. 2017Visual Attribute Transfer through Deep Image Analogycited by 123
  10. 2021Stylizing 3D Scene via Implicit Representation and HyperNetworkcited by 103
  11. 2017Coherent Online Video Style Transfercited by 96
  12. 2016Fast Patch-based Style Transfer of Arbitrary Stylecited by 92
  13. 2020Arbitrary Video Style Transfer via Multi-Channel Correlationcited by 84
  14. 2021Learning to Stylize Novel Viewscited by 76
  15. 2022Unified Implicit Neural Stylizationcited by 67
  16. 2022CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfercited by 46
  17. 2017Artistic style transfer for videos and spherical imagescited by 45
  18. 2020Interactive Video Stylization Using Few-Shot Patch-Based Trainingcited by 43
  19. 2022SNeRF: Stylized Neural Implicit Representations for 3D Scenescited by 26
  20. 2022Neural Neighbor Style Transfercited by 23
  21. 2018StyleBlit: Fast Example-Based Stylization with Local Guidancecited by 10

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 8; 2024: 12; 2025: 12; 2026: 3.

35 papers.

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  1. 2024InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Priorcited by 55
  2. 2023Real-World Image Variation by Aligning Diffusion Inversion Chaincited by 37
  3. 2024StylizedGS: Controllable Stylization for 3D Gaussian Splattingcited by 23
  4. 20243Doodle: Compact Abstraction of Objects with 3D Strokescited by 21
  5. 2024Geometry Transfer for Stylizing Radiance Fieldscited by 16
  6. 2024Gaussian Splatting in Stylecited by 16
  7. 2024Reference-based Controllable Scene Stylization with Gaussian Splattingcited by 12
  8. 2023Advances in 3D Neural Stylization: A Surveycited by 8
  9. 2025ABC-GS: Alignment-Based Controllable Style Transfer for 3D Gaussian Splattingcited by 7
  10. 2023ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylizationcited by 6
  11. 2025StyleMe3D: Stylization with Disentangled Priors by Multiple Encoders on 3D Gaussianscited by 6
  12. 2023ChromaDistill: Colorizing Monochrome Radiance Fields with Knowledge Distillationcited by 5
23 more
  1. 2023LAENeRF: Local Appearance Editing for Neural Radiance Fieldscited by 5
  2. 2024ConRF: Zero-shot Stylization of 3D Scenes with Conditioned Radiation Fieldscited by 5
  3. 2025MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wildcited by 5
  4. 2023Learning Naturally Aggregated Appearance for Efficient 3D Editingcited by 4
  5. 2025Multi-StyleGS: Stylizing Gaussian Splatting with Multiple Stylescited by 4
  6. 2023S2RF: Semantically Stylized Radiance Fieldscited by 3
  7. 2024S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenescited by 3
  8. 2024WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussianscited by 3
  9. 2025GT2-GS: Geometry-aware Texture Transfer for Gaussian Splattingcited by 3
  10. 2025FantasyStyle: Controllable Stylized Distillation for 3D Gaussian Splattingcited by 3
  11. 2025Voxify3D: Pixel Art Meets Volumetric Renderingcited by 3
  12. 2023A General Implicit Framework for Fast NeRF Composition and Renderingcited by 2
  13. 2024StyleCity: Large-Scale 3D Urban Scenes Stylizationcited by 2
  14. 2024MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Renderingcited by 2
  15. 2025Color3D: Controllable and Consistent 3D Colorization with Personalized Colorizercited by 2
  16. 2025Empowering Vector Graphics with Consistently Arbitrary Viewing and View-dependent Visibilitycited by 1
  17. 2025Improved 3D Scene Stylization via Text-Guided Generative Image Editing with Region-Based Controlcited by 1
  18. 2024ArCSEM: Artistic Colorization of SEM Images via Gaussian Splattingcited by 0
  19. 2025GAS-NeRF: Geometry-Aware Stylization of Dynamic Radiance Fieldscited by 0
  20. 2025Multi-level Dynamic Style Transfer for NeRFscited by 0
  21. 2026Image-Guided Geometric Stylization of 3D Meshescited by 0
  22. 2026NeuMesh++: Towards Versatile and Efficient Volumetric Editing with Disentangled Neural Mesh-based Implicit Fieldcited by 0
  23. 2026Geometry-Aware Style Transfer in 3D Gaussian Splattingcited by 0