mlsanityData to 7 Oct 2026

Nuvo: Neural UV Mapping for Unruly 3D Representations

arXiv 2312.05283 ↗First posted 11 Dec 2023cs.CV cs.GRcited by 29

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Abstract (arXiv)

Existing UV mapping algorithms are designed to operate on well-behaved meshes, instead of the geometry representations produced by state-of-the-art 3D reconstruction and generation techniques. As such, applying these methods to the volume densities recovered by neural radiance fields and related techniques (or meshes triangulated from such fields) results in texture atlases that are too fragmented to be useful for tasks such as view synthesis or appearance editing. We present a UV mapping method designed to operate on geometry produced by 3D reconstruction and generation techniques. Instead of computing a mapping defined on a mesh's vertices, our method Nuvo uses a neural field to represent a continuous UV mapping, and optimizes it to be a valid and well-behaved mapping for just the set of visible points, i.e. only points that affect the scene's appearance. We show that our model is robust to the challenges posed by ill-behaved geometry, and that it produces editable UV mappings that can represent detailed appearance.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). Builds on 18 of its 39 references that are in the map. First posted on arXiv 11 Dec 2023.

Builds on

18 of 39 references.

References · 18

  1. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  2. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  3. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,682
  4. 2020Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domainscited by 2,170
  5. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
  6. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,607
  7. 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 961
  8. 2023Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fieldscited by 667
  9. 2021Extracting Triangular 3D Models, Materials, and Lighting From Imagescited by 363
  10. 2023BakedSDF: Meshing Neural SDFs for Real-Time View Synthesiscited by 220
  11. 2023MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenescited by 215
  12. 2022Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoisingcited by 163
6 more
  1. 2021Layered Neural Atlases for Consistent Video Editingcited by 137
  2. 2021NeuTex: Neural Texture Mapping for Volumetric Neural Renderingcited by 98
  3. 2022UV Volumes for Real-time Rendering of Editable Free-view Human Performancecited by 43
  4. 2022AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesiscited by 39
  5. 2021Neural Surface Mapscited by 34
  6. 2023General Neural Gauge Fieldscited by 12

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 11; 2025: 12; 2026: 6.

29 papers.

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  1. 2024Texture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting Editingcited by 47
  2. 2024Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesiscited by 41
  3. 2024GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modelingcited by 30
  4. 2024Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representationcited by 17
  5. 2024Flatten Anything: Unsupervised Neural Surface Parameterizationcited by 15
  6. 2025Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generationcited by 13
  7. 2025PartUV: Part-Based UV Unwrapping of 3D Meshescited by 9
  8. 2025Auto-Regressive Surface Cuttingcited by 8
  9. 2024Flying with Photons: Rendering Novel Views of Propagating Lightcited by 7
  10. 2024GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstructioncited by 7
  11. 2025Content-Aware Texturing for Gaussian Splattingcited by 5
  12. 2025GarmageNet: A Multimodal Generative Framework for Sewing Pattern Design and Generic Garment Modelingcited by 4
17 more
  1. 2025FlexPara: Flexible Neural Surface Parameterizationcited by 4
  2. 2026MeshTailor: Cutting Seams via Generative Mesh Traversalcited by 4
  3. 2024ParaPoint: Learning Global Free-Boundary Surface Parameterization of 3D Point Cloudscited by 2
  4. 2024ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Imagescited by 2
  5. 2025SeamCrafter: Enhancing Mesh Seam Generation for Artist UV Unwrapping via Reinforcement Learningcited by 2
  6. 2024Semantic UV mapping to improve texture inpainting for indoor scenescited by 1
  7. 2025ArtUV: Artist-style UV Unwrappingcited by 1
  8. 2025Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectivescited by 1
  9. 2025GTAvatar: Bridging Gaussian Splatting and Texture Mapping for Relightable and Editable Gaussian Avatarscited by 1
  10. 2024Incorporating dense metric depth into neural 3D representations for view synthesis and relightingcited by 0
  11. 2025InstantSticker: Realistic Decal Blending via Disentangled Object Reconstructioncited by 0
  12. 2025Visual-textual Dermatoglyphic Animal Biometrics: A First Case Study on Panthera tigriscited by 0
  13. 2026Continuous Neural Reparameterization as a Deep Geometric Prior for Robust Fixed-Chart UV Repaircited by 0
  14. 2026DreamUV: Unwrap Artist-like UV by End-to-End Flow Matchingcited by 0
  15. 2026SeamGen: Artist-Aligned UV Seam Generation via Graph Flow Matchingcited by 0
  16. 2026PointGT: Simultaneous Geometry and Texture Editing for Point-Based Representationscited by 0
  17. 2026SeamFlow: Structure-Aware Flow Matching on Edge Probabilities for Artist-Like UV Unwrappingcited by 0