3 papers
eess.IV2026
DALD-PCAC: Density-Adaptive Learning Descriptor for Point Cloud Lossless Attribute Compression
Chunyang Fu, Ge Li, Wei Gao +3
Recently, deep learning has significantly advanced the performance of point cloud geometry compression. However, the learning-based lossless attribute compression of point clouds w…
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…
cs.MM2025
Voxel-GS: Quantized Scaffold Gaussian Splatting Compression with Run-Length Coding
Chunyang Fu, Xiangrui Liu, Shiqi Wang +1
Substantial Gaussian splatting format point clouds require effective compression. In this paper, we propose Voxel-GS, a simple yet highly effective framework that departs from the…