GARO: Geometry-Aware Redundancy Optimization for Real-Time and High-Fidelity Dynamic Gaussian Splatting

arXiv:2609.23509 · cs.CV · Submitted 2026-09-20 · Read on arXiv

cs.CV

Submitted: 2026-09-20

Updated: 2026-09-20

Terminology

Pruning — 40× in this paper · explained in 4 episodes
Redundancy — 32× in this paper · explained in 2 episodes
Gaussian Splatting — 28× in this paper · explained in 4 episodes
3D Gaussian Splatting — 11× in this paper · explained in 2 episodes
Fidelity — 9× in this paper · explained in 2 episodes
Ablation — 8× in this paper · explained in 1 episode
Clustering — 4× in this paper · explained in 2 episodes
3D Gaussian Splatting (3DGS) — 3× in this paper · explained in 4 episodes
Core — 3× in this paper · explained in 2 episodes
Geometry-Aware Redundancy Optimization — 3× in this paper
Point Clouds — 3× in this paper · explained in 2 episodes
Ablation study — 2× in this paper · explained in 1 episode
Consistency — 2× in this paper · explained in 3 episodes
Quantization — 2× in this paper · explained in 12 episodes
Robustness — 2× in this paper · explained in 5 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Accuracy — 1× in this paper · explained in 1 episode
Computational overhead — 1× in this paper · explained in 2 episodes
Generative Modeling — 1× in this paper · explained in 3 episodes
Gradient Flow — 1× in this paper · explained in 2 episodes
Information Gain — 1× in this paper · explained in 2 episodes
Learned Perceptual Image Patch Similarity — 1× in this paper
Loss Function — 1× in this paper · explained in 2 episodes
Peak Signal-to-Noise Ratio — 1× in this paper

Sources

RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS

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