mlsanityData to 14 Oct 2026

REdiSplats: Ray Tracing for Editable Gaussian Splatting

arXiv 2503.12284 ↗First posted 15 Mar 2025cs.CVcited by 1

Not on the map. Why?

Abstract (arXiv)

Gaussian Splatting (GS) has become one of the most important neural rendering algorithms. GS represents 3D scenes using Gaussian components with trainable color and opacity. This representation achieves high-quality renderings with fast inference. Regrettably, it is challenging to integrate such a solution with varying light conditions, including shadows and light reflections, manual adjustments, and a physical engine. Recently, a few approaches have appeared that incorporate ray-tracing or mesh primitives into GS to address some of these caveats. However, no such solution can simultaneously solve all the existing limitations of the classical GS. Consequently, we introduce REdiSplats, which employs ray tracing and a mesh-based representation of flat 3D Gaussians. In practice, we model the scene using flat Gaussian distributions parameterized by the mesh. We can leverage fast ray tracing and control Gaussian modification by adjusting the mesh vertices. Moreover, REdiSplats allows modeling of light conditions, manual adjustments, and physical simulation. Furthermore, we can render our models using 3D tools such as Blender or Nvdiffrast, which opens the possibility of integrating them with all existing 3D graphics techniques dedicated to mesh representations.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 23 of its 30 references that are in the map. First posted on arXiv 15 Mar 2025.

Builds on

23 of 30 references.

References · 23

  1. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  2. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  3. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  4. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
  5. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,964
  6. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
  7. 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,076
  8. 2019Differentiable Surface Splatting for Point-based Geometry Processingcited by 239
  9. 2021Point-Based Neural Rendering with Per-View Optimizationcited by 190
  10. 20243D Gaussian Ray Tracing: Fast Tracing of Particle Scenescited by 139
  11. 2024GES: Generalized Exponential Splatting for Efficient Radiance Field Renderingcited by 92
  12. 2023Neural Point Catacaustics for Novel-View Synthesis of Reflectionscited by 82
11 more
  1. 2024GaMeS: Mesh-Based Adapting and Modification of Gaussian Splattingcited by 70
  2. 2024IRGS: Inter-Reflective Gaussian Splatting with 2D Gaussian Ray Tracingcited by 54
  3. 2024Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Mediacited by 37
  4. 2024EnvGS: Modeling View-Dependent Appearance with Environment Gaussiancited by 35
  5. 2025Radiant Foam: Real-Time Differentiable Ray Tracingcited by 34
  6. 2024GASP: Gaussian Splatting for Physic-Based Simulationscited by 24
  7. 2025LinPrim: Linear Primitives for Differentiable Volumetric Renderingcited by 21
  8. 2024D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soupcited by 18
  9. 2025RaySplats: Ray Tracing based Gaussian Splattingcited by 14
  10. 2024MiraGe: Editable 2D Images using Gaussian Splattingcited by 12
  11. 2025MeshSplats: Mesh-Based Rendering with Gaussian Splatting Initializationcited by 9

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.