An end-to-end dynamic point cloud geometry compression in latent space

Zhaoyi Jiang, Guoliang Wang, Gary K. L. Tam, Chao Song, Frederick W. B. Li, Bailin Yang

Abstract: Highlights•An end-to-end deep compression for dynamic point cloud in latent space is proposed.•We propose a Latent Scene Flow (LSF) module for the learning of motion vectors.•A deep entropy model for residual compression is introduced by spatio-temporal prior.•Experiments are conducted on the 8iVFB dataset and achieve state-of-the-art results.