mlsanityData to 7 Oct 2026

Learning a Neural 3D Texture Space from 2D Exemplars

arXiv 1912.04158 ↗First posted 9 Dec 2019cs.CV cs.GR cs.LGcited by 53

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Abstract (arXiv)

We propose a generative model of 2D and 3D natural textures with diversity, visual fidelity and at high computational efficiency. This is enabled by a family of methods that extend ideas from classic stochastic procedural texturing (Perlin noise) to learned, deep, non-linearities. The key idea is a hard-coded, tunable and differentiable step that feeds multiple transformed random 2D or 3D fields into an MLP that can be sampled over infinite domains. Our model encodes all exemplars from a diverse set of textures without a need to be re-trained for each exemplar. Applications include texture interpolation, and learning 3D textures from 2D exemplars.

Key facts. Cited by 53 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Dec 2019.

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Citing papers per year: 2021: 15; 2022: 19; 2023: 7; 2024: 9; 2025: 3.

53 papers.

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  1. 2021IBRNet: Learning Multi-View Image-Based Renderingcited by 698
  2. 2021Neural Fields in Visual Computing and Beyondcited by 539
  3. 2021GeoNeRF: Generalizing NeRF with Geometry Priorscited by 195
  4. 2022SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Imagecited by 165
  5. 2021Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPscited by 134
  6. 2021MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesiscited by 133
  7. 2021A Structured Dictionary Perspective on Implicit Neural Representationscited by 100
  8. 2021NeuTex: Neural Texture Mapping for Volumetric Neural Renderingcited by 98
  9. 2021NeRF-SR: High-Quality Neural Radiance Fields using Supersamplingcited by 95
  10. 2023Texture Generation on 3D Meshes with Point-UV Diffusioncited by 63
  11. 2021Seeing Implicit Neural Representations as Fourier Seriescited by 50
  12. 2021Generative Modelling of BRDF Textures from Flash Imagescited by 35
38 more
  1. 2022RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesiscited by 33
  2. 2024TexSliders: Diffusion-Based Texture Editing in CLIP Spacecited by 23
  3. 2021NeuSample: Neural Sample Field for Efficient View Synthesiscited by 21
  4. 2022UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomographycited by 19
  5. 2021Plan2Scene: Converting Floorplans to 3D Scenescited by 17
  6. 2025Neural Shell Texture Splatting: More Details and Fewer Primitivescited by 14
  7. 2022CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecturecited by 13
  8. 2022Random Weight Factorization Improves the Training of Continuous Neural Representationscited by 13
  9. 2022SinGRAF: Learning a 3D Generative Radiance Field for a Single Scenecited by 11
  10. 2022X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360circ Insufficient RGB-D Viewscited by 10
  11. 2023Frequency-Modulated Point Cloud Rendering with Easy Editingcited by 10
  12. 2023Mesh Neural Cellular Automatacited by 10
  13. 2021Texture Generation with Neural Cellular Automatacited by 9
  14. 20223inGAN: Learning a 3D Generative Model from Images of a Self-similar Scenecited by 9
  15. 2023TUVF: Learning Generalizable Texture UV Radiance Fieldscited by 9
  16. 2022NeRFocus: Neural Radiance Field for 3D Synthetic Defocuscited by 8
  17. 2021Learning Positional Embeddings for Coordinate-MLPscited by 7
  18. 2022GANmouflage: 3D Object Nondetection with Texture Fieldscited by 7
  19. 2024Superpixel-informed Implicit Neural Representation for Multi-Dimensional Datacited by 7
  20. 2022On Regularizing Coordinate-MLPscited by 5
  21. 2022How You Start Matters for Generalizationcited by 5
  22. 2022Neural apparent BRDF fields for multiview photometric stereocited by 5
  23. 2024G-Style: Stylized Gaussian Splattingcited by 5
  24. 2022Paying U-Attention to Textures: Multi-Stage Hourglass Vision Transformer for Universal Texture Synthesiscited by 4
  25. 2024Compositional Neural Texturescited by 4
  26. 2022Projective Urban Texturingcited by 3
  27. 2022Towards Universal Texture Synthesis by Combining Texton Broadcasting with Noise Injection in StyleGAN-2cited by 3
  28. 2022Exemplar-based Pattern Synthesis with Implicit Periodic Field Networkcited by 3
  29. 2022Texture Representation via Analysis and Synthesis with Generative Adversarial Networkscited by 3
  30. 2024ImplicitTerrain: a Continuous Surface Model for Terrain Data Analysiscited by 3
  31. 2024Multiplane Prior Guided Few-Shot Aerial Scene Renderingcited by 3
  32. 2021STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?cited by 2
  33. 2023Retargeting Visual Data with Deformation Fieldscited by 2
  34. 2024Content-aware Tile Generation using Exterior Boundary Inpaintingcited by 2
  35. 2025Bias for Action: Video Implicit Neural Representations with Bias Modulationcited by 2
  36. 2022Initialization and Alignment for Adversarial Texture Optimizationcited by 1
  37. 2023A geometrically aware auto-encoder for multi-texture synthesiscited by 1
  38. 2023P2I-NET: Mapping Camera Pose to Image via Adversarial Learning for New View Synthesis in Real Indoor Environmentscited by 1

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