LG-HCC: Local Geometry-Aware Hierarchical Context Compression for 3D Gaussian Splatting

arXiv:2603.28431 · cs.CV, cs.AI · Submitted 2026-03-30 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-03-30

Updated: 2026-09-19

Comments: 10

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Pruning — 31× in this paper · explained in 4 episodes
• Gaussian Splatting — 29× in this paper · explained in 4 episodes
• 3D Gaussian Splatting — 25× in this paper · explained in 2 episodes
• Fidelity — 16× in this paper · explained in 2 episodes
• Redundancy — 9× in this paper · explained in 2 episodes
• Neighborhood-Aware Anchor Pruning — 8× in this paper
• Aggregation — 6× in this paper · explained in 1 episode
• Quantization — 6× in this paper · explained in 12 episodes
• 3D Gaussian Splatting (3DGS) — 5× in this paper · explained in 4 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Decode — 2× in this paper · explained in 2 episodes
• ACM Transactions on Graphics — 1× in this paper
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Geometric Distribution — 1× in this paper · explained in 2 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Mixture-of-Experts (MoE) — 1× in this paper · explained in 7 episodes
• Multi-Layer Perceptron — 1× in this paper
• Peak Signal-to-Noise Ratio — 1× in this paper
• Point Clouds — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes

Sources

• Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning
• HAC++: Towards 100X Compression of 3D Gaussian Splatting
• D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction
• Overview and Comparison of AVS Point Cloud Compression Standard
• HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression
• AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field
• CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization
• Spectrally Pruned Gaussian Fields with Neural Compensation
• CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression
• Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians
• Locality-aware Gaussian Compression for Fast and High-quality Rendering

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