61 citations · 576 across the 47 of their papers we have counts for
5 papers · 1 filter
Learning-based Real-time Detection of Intrinsic Reflectional Symmetry
Yi-Ling Qiao, Lin Gao, Shu-Zhi Liu +3
Reflectional symmetry is ubiquitous in nature. While extrinsic reflectional symmetry can be easily parametrized and detected, intrinsic symmetry is much harder due to the high solu…
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…
PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
Lin Gao, Ling-Xiao Zhang, Hsien-Yu Meng +3
In geometry processing, symmetry is a universal type of high-level structural information of 3D models and benefits many geometry processing tasks including shape segmentation, ali…
Mesh Variational Autoencoders with Edge Contraction Pooling
Yu-Jie Yuan, Yu-Kun Lai, Jie Yang +2
3D shape analysis is an important research topic in computer vision and graphics. While existing methods have generalized image-based deep learning to meshes using graph-based conv…
Learning to Reconstruct and Understand Indoor Scenes from Sparse Views
Jingyu Yang, Ji Xu, Kun Li +5
This paper proposes a new method for simultaneous 3D reconstruction and semantic segmentation of indoor scenes. Unlike existing methods that require recording a video using a color…