ControlGS: Consistent Structural Compression Control for Deployment-Aware Gaussian Splatting
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Abstract (arXiv)
3D Gaussian Splatting (3DGS) is a highly deployable real-time method for novel view synthesis. In practice, it requires a universal, consistent control mechanism that adjusts the trade-off between rendering quality and model compression without scene-specific tuning, enabling automated deployment across different device performances and communication bandwidths. In this work, we present ControlGS, a control-oriented optimization framework that maps the trade-off between Gaussian count and rendering quality to a continuous, scene-agnostic, and highly responsive control axis. Extensive experiments across a wide range of scene scales and types (from small objects to large outdoor scenes) demonstrate that, by adjusting a globally unified control hyperparameter, ControlGS can flexibly generate models biased toward either structural compactness or high fidelity, regardless of the specific scene scale or complexity, while achieving markedly higher rendering quality with the same or fewer Gaussians compared to potential competing methods. Project page: https://zhang-fengdi.github.io/ControlGS/
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 32 of its 43 references that are in the map. First posted on arXiv 15 May 2025.
Builds on
32 of 43 references.
References · 32
- 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
- 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
- 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
- 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
- 2021PlenOctrees for Real-time Rendering of Neural Radiance Fieldscited by 905
- 2023Scaffold-GS: Structured 3D Gaussians for View-Adaptive Renderingcited by 695
- 2021FastNeRF: High-Fidelity Neural Rendering at 200FPScited by 511
- 2023LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPScited by 436
- 2023Compact 3D Gaussian Representation for Radiance Fieldcited by 372
- 2024Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussianscited by 230
- 20243D Gaussian Splatting as Markov Chain Monte Carlocited by 217
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- 2024Mini-Splatting: Representing Scenes with a Constrained Number of Gaussianscited by 213
- 2024Taming 3DGS: High-Quality Radiance Fields with Limited Resourcescited by 204
- 2023EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingScited by 196
- 2023Compact 3D Scene Representation via Self-Organizing Gaussian Gridscited by 151
- 2023CompGS: Smaller and Faster Gaussian Splatting with Vector Quantizationcited by 130
- 2024RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPScited by 113
- 2024PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splattingcited by 95
- 2024CompGS: Efficient 3D Scene Representation via Compressed Gaussian Splattingcited by 82
- 2024End-to-End Rate-Distortion Optimized 3D Gaussian Representationcited by 75
- 2024LP-3DGS: Learning to Prune 3D Gaussian Splattingcited by 55
- 2024Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruningcited by 47
- 2024VR-Splatting: Foveated Radiance Field Rendering via 3D Gaussian Splatting and Neural Pointscited by 29
- 2024GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splattingcited by 29
- 2024EfficientGS: Streamlining Gaussian Splatting for Large-Scale High-Resolution Scene Representationcited by 27
- 2024ELMGS: Enhancing memory and computation scaLability through coMpression for 3D Gaussian Splattingcited by 20
- 2024Efficient Scene Modeling via Structure-Aware and Region-Prioritized 3D Gaussianscited by 15
- 2024SqueezeMe: Mobile-Ready Distillation of Gaussian Full-Body Avatarscited by 11
- 2025GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compressioncited by 11
- 2024SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destructioncited by 7
- 2024XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifoldcited by 6
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Citing papers per year: 2026: 2.
2 papers.