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Point Cloud Compression via Constrained Optimal Transport
March 14, 2024, 4:45 a.m. | Zezeng Li, Weimin Wang, Ziliang Wang, Na Lei
cs.CV updates on arXiv.org arxiv.org
Abstract: This paper presents a novel point cloud compression method COT-PCC by formulating the task as a constrained optimal transport (COT) problem. COT-PCC takes the bitrate of compressed features as an extra constraint of optimal transport (OT) which learns the distribution transformation between original and reconstructed points. Specifically, the formulated COT is implemented with a generative adversarial network (GAN) and a bitrate loss for training. The discriminator measures the Wasserstein distance between input and reconstructed points, …
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