mlsanityData to 7 Oct 2026

SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian Splatting

arXiv 2312.15856 ↗First posted 26 Dec 2023cs.GR cs.CVcited by 3

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Abstract (arXiv)

A key challenge in fine-grained 3D-based interactive editing is the absence of an efficient representation that balances diverse modifications with high-quality view synthesis under a given memory constraint. While 3D meshes provide robustness for various modifications, they often yield lower-quality view synthesis compared to 3D Gaussian Splatting, which, in turn, suffers from instability during extensive editing. A straightforward combination of these two representations results in suboptimal performance and fails to meet memory constraints. In this paper, we introduce SplatMesh, a novel fine-grained interactive 3D segmentation and editing algorithm that integrates 3D Gaussian Splat with a precomputed mesh and could adjust the memory request based on the requirement. Specifically, given a mesh, method simplifies it while considering both color and shape, ensuring it meets memory constraints. Then, SplatMesh aligns Gaussian splats with the simplified mesh by treating each triangle as a new reference point. By segmenting and editing the simplified mesh, we can effectively edit the Gaussian splats as well, which will lead to extensive experiments on real and synthetic datasets, coupled with illustrative visual examples, highlighting the superiority of our approach in terms of representation quality and editing performance. Code of our paper can be found here: https://github.com/kaichen-z/SplatMesh.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 47 of its 86 references that are in the map. First posted on arXiv 26 Dec 2023.

Builds on

47 of 86 references.

References · 47

  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  2. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
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  11. 2021BARF: Bundle-Adjusting Neural Radiance Fieldscited by 641
  12. 2020Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humanscited by 634
35 more
  1. 2023SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Renderingcited by 611
  2. 2022HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Videocited by 483
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  9. 2021Editing Conditional Radiance Fieldscited by 222
  10. 2022NeRF-Editing: Geometry Editing of Neural Radiance Fieldscited by 216
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  12. 2019Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Imagecited by 202
  13. 2019Neural Volumes: Learning Dynamic Renderable Volumes from Imagescited by 173
  14. 2022Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoisingcited by 163
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  16. 2022NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editingcited by 141
  17. 2022StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learningcited by 140
  18. 2021NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illuminationcited by 135
  19. 2021Stylizing 3D Scene via Implicit Representation and HyperNetworkcited by 103
  20. 2021NeuTex: Neural Texture Mapping for Volumetric Neural Renderingcited by 98
  21. 2023SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Fieldcited by 93
  22. 2022Compressible-composable NeRF via Rank-residual Decompositioncited by 92
  23. 2020Object-Centric Neural Scene Renderingcited by 90
  24. 2022Learning-based Inverse Rendering of Complex Indoor Scenes with Differentiable Monte Carlo Raytracingcited by 78
  25. 2022Unified Implicit Neural Stylizationcited by 67
  26. 2020Crowdsampling the Plenoptic Functioncited by 62
  27. 2022Physically-Based Editing of Indoor Scene Lighting from a Single Imagecited by 62
  28. 2019Neural Point Cloud Rendering via Multi-Plane Projectioncited by 60
  29. 2022IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesiscited by 50
  30. 2022UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scenecited by 47
  31. 2022PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fieldscited by 43
  32. 2023I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFscited by 42
  33. 2023DynPoint: Dynamic Neural Point For View Synthesiscited by 37
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  35. 2022DevNet: Self-supervised Monocular Depth Learning via Density Volume Constructioncited by 22

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 0; 2026: 2.

3 papers.