Generative Variational-Contrastive Learning for Self-Supervised Point Cloud Representation

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. 46; no. 9; pp. 6154 - 6166
• Main Authors: Wang, Bohua, Tian, Zhiqiang, Ye, Aixue, Wen, Feng, Du, Shaoyi, Gao, Yue
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.09.2024
• Subjects: Contrastive learning; Feature extraction; generative learning; point cloud; Point cloud compression; self-supervised; Self-supervised learning; Solid modeling; Synthetic data; Task analysis; Three-dimensional displays; variational inference

Self-supervised representation learning for 3D point clouds has attracted increasing attention. However, existing methods in the field of 3D computer vision generally use fixed embeddings to represent the latent features, and impose hard constraints on the embeddings to make the latent feature value...