2 papers
cs.CV2026
Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression
Yihan Qiu, Xiaodong Lin, Baoquan Zhao +2
LiDAR point clouds provide explicit, deterministic physical boundaries critical for collaborative safety-critical perception. However, wireless channels inherently impair and corru…
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…