3D Shape Modeling and Analysis
This cluster of papers focuses on the analysis, reconstruction, and representation of three-dimensional shapes using deep learning techniques, point clouds, and mesh processing. It covers topics such as 3D classification, segmentation, object recognition, shape reconstruction from single images, surface parameterization, mesh deformation, and texture mapping.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.