57 citations · 130 across the 22 of their papers we have counts for
8 papers · 1 filter
Deep-PE: A Learning-Based Pose Evaluator for Point Cloud Registration
Junjie Gao, Chongjian Wang, Zhongjun Ding +4
In the realm of point cloud registration, the most prevalent pose evaluation approaches are statistics-based, identifying the optimal transformation by maximizing the number of con…
NeurCross: A Neural Approach to Computing Cross Fields for Quad Mesh Generation
Qiujie Dong, Huibiao Wen, Rui Xu +6
Quadrilateral mesh generation plays a crucial role in numerical simulations within Computer-Aided Design and Engineering (CAD/E). Producing high-quality quadrangulation typically r…
NeurCADRecon: Neural Representation for Reconstructing CAD Surfaces by Enforcing Zero Gaussian Curvature
Qiujie Dong, Rui Xu, Pengfei Wang +5
Despite recent advances in reconstructing an organic model with the neural signed distance function (SDF), the high-fidelity reconstruction of a CAD model directly from low-quality…
OAAFormer: Robust and Efficient Point Cloud Registration Through Overlapping-Aware Attention in Transformer
Junjie Gao, Qiujie Dong, Ruian Wang +4
In the domain of point cloud registration, the coarse-to-fine feature matching paradigm has received substantial attention owing to its impressive performance. This paradigm involv…
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…
A Task-driven Network for Mesh Classification and Semantic Part Segmentation
Qiujie Dong, Xiaoran Gong, Rui Xu +5
With the rapid development of geometric deep learning techniques, many mesh-based convolutional operators have been proposed to bridge irregular mesh structures and popular backbon…
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Qiujie Dong, Zixiong Wang, Manyi Li +6
Geometric deep learning has sparked a rising interest in computer graphics to perform shape understanding tasks, such as shape classification and semantic segmentation. When the in…
Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction
Zixiong Wang, Pengfei Wang, Pengshuai Wang +6
Surface reconstruction is very challenging when the input point clouds, particularly real scans, are noisy and lack normals. Observing that the Multilayer Perceptron (MLP) and the…