120 citations · 246 across the 5 of their papers we have counts for
5 papers
Learning the Geodesic Embedding with Graph Neural Networks
Bo Pang, Zhongtian Zheng, Guoping Wang +1
We present GeGnn, a learning-based method for computing the approximate geodesic distance between two arbitrary points on discrete polyhedra surfaces with constant time complexity…
Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian
Zixiong Wang, Yunxiao Zhang, Rui Xu +6
Neural implicit representation is a promising approach for reconstructing surfaces from point clouds. Existing methods combine various regularization terms, such as the Eikonal and…
Visual-Guided Mesh Repair
Zhongtian Zheng, Xifeng Gao, Zherong Pan +4
Mesh repair is a long-standing challenge in computer graphics and related fields. Converting defective meshes into watertight manifold meshes can greatly benefit downstream applica…
Locally Attentional SDF Diffusion for Controllable 3D Shape Generation
Xin-Yang Zheng, Hao Pan, Peng-Shuai Wang +3
Although the recent rapid evolution of 3D generative neural networks greatly improves 3D shape generation, it is still not convenient for ordinary users to create 3D shapes and con…
OctFormer: Octree-based Transformers for 3D Point Clouds
Peng-Shuai Wang
We propose octree-based transformers, named OctFormer, for 3D point cloud learning. OctFormer can not only serve as a general and effective backbone for 3D point cloud segmentation…