2 papers
cs.CV2026
Towards Practical Compression of 3D Gaussian Splatting
Pengpeng Yu, Yueru Chen, Fei Song +4
3D Gaussian Splatting (3DGS) enables high-quality novel-view synthesis but requires substantial storage. Existing compression methods often rely on spatial context modeling over ir…
eess.IV2026
DeepRAHT: Learning Predictive RAHT for Point Cloud Attribute Compression
Chunyang Fu, Tai Qin, Shiqi Wang +1
Regional Adaptive Hierarchical Transform (RAHT) is an effective point cloud attribute compression (PCAC) method. However, its application in deep learning lacks research. In this p…