mlsanityData to 14 Oct 2026

TextureSplat: Per-Primitive Texture Mapping for Reflective Gaussian Splatting

arXiv 2506.13348 ↗First posted 16 Jun 2025cs.GR cs.CVcited by 3

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Abstract (arXiv)

Gaussian Splatting have demonstrated remarkable novel view synthesis performance at high rendering frame rates. Optimization-based inverse rendering within complex capture scenarios remains however a challenging problem. A particular case is modelling complex surface light interactions for highly reflective scenes, which results in intricate high frequency specular radiance components. We hypothesize that such challenging settings can benefit from increased representation power. We hence propose a method that tackles this issue through a geometrically and physically grounded Gaussian Splatting borne radiance field, where normals and material properties are spatially variable in the primitive's local space. Using per-primitive texture maps for this purpose, we also propose to harness the GPU hardware to accelerate rendering at test time via unified material texture atlas. Code will be available at https://github.com/maeyounes/TextureSplat

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 78 of its 91 references that are in the map. First posted on arXiv 16 Jun 2025.

Builds on

78 of 91 references.

References · 78

  1. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  2. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  3. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  4. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  5. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,712
  6. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
  7. 2020pixelNeRF: Neural Radiance Fields from One or Few Imagescited by 1,584
  8. 2022TensoRF: Tensorial Radiance Fieldscited by 1,280
  9. 20234D Gaussian Splatting for Real-Time Dynamic Scene Renderingcited by 1,157
  10. 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,076
  11. 2021Volume Rendering of Neural Implicit Surfacescited by 996
  12. 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 964
38 more
  1. 2020Neural Sparse Voxel Fieldscited by 959
  2. 2020Convolutional Occupancy Networkscited by 761
  3. 2023K-Planes: Explicit Radiance Fields in Space, Time, and Appearancecited by 746
  4. 2021MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereocited by 740
  5. 2021Depth-supervised NeRF: Fewer Views and Faster Training for Freecited by 735
  6. 2020Implicit Geometric Regularization for Learning Shapescited by 710
  7. 2023pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstructioncited by 684
  8. 2023Mip-Splatting: Alias-free 3D Gaussian Splattingcited by 667
  9. 2021RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputscited by 615
  10. 2021Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fieldscited by 575
  11. 2020NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesiscited by 496
  12. 2023Neuralangelo: High-Fidelity Neural Surface Reconstructioncited by 467
  13. 2021Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesiscited by 464
  14. 2023Compact 3D Gaussian Representation for Radiance Fieldcited by 372
  15. 2021Extracting Triangular 3D Models, Materials, and Lighting From Imagescited by 366
  16. 2023FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularizationcited by 311
  17. 2023GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfacescited by 252
  18. 2024No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Imagescited by 248
  19. 2023GS-IR: 3D Gaussian Splatting for Inverse Renderingcited by 224
  20. 20243D Gaussian Splatting as Markov Chain Monte Carlocited by 217
  21. 2021GeoNeRF: Generalizing NeRF with Geometry Priorscited by 196
  22. 2023COLMAP-Free 3D Gaussian Splattingcited by 193
  23. 2023NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Imagescited by 163
  24. 2023Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracingcited by 142
  25. 2024Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splattingcited by 113
  26. 2023Neural Kernel Surface Reconstructioncited by 104
  27. 2024ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Modelcited by 102
  28. 2024Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitivescited by 95
  29. 2022Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstructioncited by 94
  30. 2024MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereocited by 87
  31. 2021DiGS : Divergence guided shape implicit neural representation for unoriented point cloudscited by 77
  32. 2023Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflectioncited by 69
  33. 2024Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integrationcited by 67
  34. 2023ENVIDR: Implicit Differentiable Renderer with Neural Environment Lightingcited by 65
  35. 20243D Gaussian Splatting with Deferred Reflectioncited by 63
  36. 2022Improved Direct Voxel Grid Optimization for Radiance Fields Reconstructioncited by 61
  37. 2024BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splattingcited by 61
  38. 2024HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstructioncited by 57

50 most cited of 78 All 78 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.