181 citations · 247 across the 17 of their papers we have counts for
4 papers · 1 filter
OctField: Hierarchical Implicit Functions for 3D Modeling
Jia-Heng Tang, Weikai Chen, Jie Yang +4
Recent advances in localized implicit functions have enabled neural implicit representation to be scalable to large scenes. However, the regular subdivision of 3D space employed by…
Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders
Jie Yang, Lin Gao, Qingyang Tan +3
Deformation component analysis is a fundamental problem in geometry processing and shape understanding. Existing approaches mainly extract deformation components in local regions a…
DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation
Jie Yang, Kaichun Mo, Yu-Kun Lai +2
D shape generation is a fundamental operation in computer graphics. While significant progress has been made, especially with recent deep generative models, it remains a challenge…
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling
Yi-Ling Qiao, Lin Gao, Jie Yang +3
3D models are commonly used in computer vision and graphics. With the wider availability of mesh data, an efficient and intrinsic deep learning approach to processing 3D meshes is…