no code implementations • 9 May 2023 • Shuting Xia, Tingyu Fan, Yiling Xu, Jenq-Neng Hwang, Zhu Li
3D dynamic point cloud (DPC) compression relies on mining its temporal context, which faces significant challenges due to DPC's sparsity and non-uniform structure.
no code implementations • 26 Sep 2022 • Tingyu Fan, Linyao Gao, Yiling Xu, Dong Wang, Zhu Li
Besides, we propose a residual coding framework for the compression of the latent variable, which explores the spatial correlation of each layer by progressive downsampling, and model the corresponding residual with a fully-factorized entropy model.
1 code implementation • 2 May 2022 • Tingyu Fan, Linyao Gao, Yiling Xu, Zhu Li, Dong Wang
This paper proposes a novel 3D sparse convolution-based Deep Dynamic Point Cloud Compression (D-DPCC) network to compensate and compress the DPC geometry with 3D motion estimation and motion compensation in the feature space.