AI RESEARCH
Smaller and Faster 3DGS via Post-Training Dictionary Learning
arXiv CS.LG
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ArXi:2605.30396v1 Announce Type: cross 3D Gaussian Splatting (3DGS) is a promising neural scene representation for real-time rendering, but trained models often suffer from large memory footprints, limiting deployment on less powerful devices. Existing compression techniques often lead to architectures with several additional trainable parameters. While achieving outstanding compression ratios, they