mlsanityData to 14 Oct 2026

GSCodec Studio: A Modular Framework for Gaussian Splat Compression

arXiv 2506.01822 ↗First posted 2 Jun 2025cs.CV cs.MMcited by 11

Not on the map. Why?

Abstract (arXiv)

3D Gaussian Splatting and its extension to 4D dynamic scenes enable photorealistic, real-time rendering from real-world captures, positioning Gaussian Splats (GS) as a promising format for next-generation immersive media. However, their high storage requirements pose significant challenges for practical use in sharing, transmission, and storage. Despite various studies exploring GS compression from different perspectives, these efforts remain scattered across separate repositories, complicating benchmarking and the integration of best practices. To address this gap, we present GSCodec Studio, a unified and modular framework for GS reconstruction, compression, and rendering. The framework incorporates a diverse set of 3D/4D GS reconstruction methods and GS compression techniques as modular components, facilitating flexible combinations and comprehensive comparisons. By integrating best practices from community research and our own explorations, GSCodec Studio supports the development of compact representation and compression solutions for static and dynamic Gaussian Splats, namely our Static and Dynamic GSCodec, achieving competitive rate-distortion performance in static and dynamic GS compression. The code for our framework is publicly available at https://github.com/JasonLSC/GSCodec_Studio , to advance the research on Gaussian Splats compression.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 67 of its 77 references that are in the map. First posted on arXiv 2 Jun 2025.

Builds on

67 of 77 references.

References · 67

  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  2. 20234D Gaussian Splatting for Real-Time Dynamic Scene Renderingcited by 1,157
  3. 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,076
  4. 2018Variational image compression with a scale hyperpriorcited by 935
  5. 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 843
  6. 2023Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstructioncited by 759
  7. 2023Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesiscited by 737
  8. 2023Scaffold-GS: Structured 3D Gaussians for View-Adaptive Renderingcited by 695
  9. 2023pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstructioncited by 684
  10. 2023Mip-Splatting: Alias-free 3D Gaussian Splattingcited by 667
  11. 2023Nerfstudio: A Modular Framework for Neural Radiance Field Developmentcited by 600
  12. 2020Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modulescited by 590
38 more
  1. 2024MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Imagescited by 566
  2. 2023Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splattingcited by 476
  3. 2021A White Paper on Neural Network Quantizationcited by 472
  4. 2023LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPScited by 436
  5. 2023SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAMcited by 388
  6. 2023PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamicscited by 377
  7. 2023Compact 3D Gaussian Representation for Radiance Fieldcited by 372
  8. 2023SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenescited by 347
  9. 2023Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesiscited by 344
  10. 2022MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architecturescited by 311
  11. 2024GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generationcited by 301
  12. 2024gsplat: An Open-Source Library for Gaussian Splattingcited by 285
  13. 2023GS-SLAM: Dense Visual SLAM with 3D Gaussian Splattingcited by 278
  14. 2020CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchcited by 276
  15. 2023GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussianscited by 260
  16. 2024Shape of Motion: 4D Reconstruction from a Single Videocited by 250
  17. 2023Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesiscited by 239
  18. 20243D Gaussian Splatting as Markov Chain Monte Carlocited by 217
  19. 2024Mini-Splatting: Representing Scenes with a Constrained Number of Gaussianscited by 213
  20. 2024HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compressioncited by 209
  21. 2023GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussianscited by 191
  22. 20244D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenescited by 189
  23. 2024VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Realitycited by 179
  24. 2023GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesiscited by 170
  25. 20243DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videoscited by 160
  26. 2023Compact 3D Scene Representation via Self-Organizing Gaussian Gridscited by 151
  27. 2024Reducing the Memory Footprint of 3D Gaussian Splattingcited by 133
  28. 2023CompGS: Smaller and Faster Gaussian Splatting with Vector Quantizationcited by 130
  29. 2023Relightable Gaussian Codec Avatarscited by 127
  30. 2023DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splattingcited by 124
  31. 2024Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splattingcited by 104
  32. 2024ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Modelcited by 102
  33. 2024Motion-aware 3D Gaussian Splatting for Efficient Dynamic Scene Reconstructioncited by 100
  34. 2024CompGS: Efficient 3D Scene Representation via Compressed Gaussian Splattingcited by 82
  35. 20243D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunitiescited by 78
  36. 2024End-to-End Rate-Distortion Optimized 3D Gaussian Representationcited by 75
  37. 2023HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splattingcited by 70
  38. 2025HAC++: Towards 100X Compression of 3D Gaussian Splattingcited by 57

50 most cited of 67 All 67 (JSON)

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 4; 2026: 7.

11 papers.

  1. 2026RAP: Fast Feedforward Rendering-Free Attribute-Guided Primitive Importance Score Prediction for Efficient 3D Gaussian Splatting Processingcited by 5
  2. 2025Lightweight 3D Gaussian Splatting Compression via Video Codeccited by 2
  3. 2025Splatwizard: A Benchmark Toolkit for 3D Gaussian Splatting Compressioncited by 2
  4. 2026Monte Carlo Energy Aggregation for Mobile 3D Gaussian Splattingcited by 2
  5. 2025Image-Conditioned 3D Gaussian Splat Quantizationcited by 0
  6. 2025Towards Efficient 3D Gaussian Human Avatar Compression: A Prior-Guided Frameworkcited by 0
  7. 2026HPC: Hierarchical Point-based Latent Representation for Streaming Dynamic Gaussian Splatting Compressioncited by 0
  8. 2026EntON: Eigenentropy-Optimized Neighborhood Densification in 3D Gaussian Splattingcited by 0
  9. 2026Robust, Estimator-Agnostic Dynamic 3DGS Compressioncited by 0
  10. 2026Mobile-4DGS: Unified Static-Dynamic Real-time Mobile Gaussian Splattingcited by 0
  11. 2026Efficient Gaussian Splatting Sequence Compression with Standard Video Codecscited by 0