no code implementations • 24 Apr 2024 • Rui Xu, Longdu Liu, Ningna Wang, Shuangmin Chen, Shiqing Xin, Xiaohu Guo, Zichun Zhong, Taku Komura, Wenping Wang, Changhe Tu
In mesh simplification, common requirements like accuracy, triangle quality, and feature alignment are often considered as a trade-off.
no code implementations • 20 Apr 2024 • Qiujie Dong, Rui Xu, Pengfei Wang, Shuangmin Chen, Shiqing Xin, Xiaohong Jia, Wenping Wang, Changhe Tu
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 unoriented point clouds remains a significant challenge.
no code implementations • 23 Jan 2024 • Zimeng Wang, Zhiyang Dou, Rui Xu, Cheng Lin, YuAn Liu, Xiaoxiao Long, Shiqing Xin, Taku Komura, Xiaoming Yuan, Wenping Wang
We introduce Coverage Axis++, a novel and efficient approach to 3D shape skeletonization.
no code implementations • 20 Dec 2023 • Junjie Gao, Pengfei Wang, Qiujie Dong, Qiong Zeng, Shiqing Xin, Caiming Zhang
Notably, tests on 3DLoMatch, even with a low overlap ratio, show that our method consistently outperforms recently published approaches such as RoReg and RoITr.
no code implementations • 15 Oct 2023 • Junjie Gao, Qiujie Dong, Ruian Wang, Shuangmin Chen, Shiqing Xin, Changhe Tu, Wenping Wang
On one hand, we introduce a soft matching mechanism, facilitating the propagation of potentially valuable correspondences from coarse to fine levels.
no code implementations • 4 Sep 2023 • Zixiong Wang, Yunxiao Zhang, Rui Xu, Fan Zhang, PengShuai Wang, Shuangmin Chen, Shiqing Xin, Wenping Wang, Changhe Tu
Our approach enforces the Hessian of the neural implicit function to have a zero determinant for points near the surface.
no code implementations • 8 Jun 2023 • Qiujie Dong, Xiaoran Gong, Rui Xu, Zixiong Wang, Shuangmin Chen, Shiqing Xin, Changhe Tu, Wenping Wang
With the rapid development of geometric deep learning techniques, many mesh-based convolutional operators have been proposed to bridge irregular mesh structures and popular backbone networks.
no code implementations • ICCV 2023 • Jingen Jiang, Mingyang Zhao, Shiqing Xin, Yanchao Yang, Hanxiao Wang, Xiaohong Jia, Dong-Ming Yan
We propose a novel and efficient method for reconstructing manifold surfaces from point clouds.
1 code implementation • 1 Feb 2022 • Qiujie Dong, Zixiong Wang, Manyi Li, Junjie Gao, Shuangmin Chen, Zhenyu Shu, Shiqing Xin, Changhe Tu, Wenping Wang
Geometric deep learning has sparked a rising interest in computer graphics to perform shape understanding tasks, such as shape classification and semantic segmentation.
1 code implementation • 9 Sep 2021 • Zixiong Wang, Pengfei Wang, PengShuai Wang, Qiujie Dong, Junjie Gao, Shuangmin Chen, Shiqing Xin, Changhe Tu, Wenping Wang
We conducted extensive experiments on various benchmarks, including synthetic scans and real scans.
1 code implementation • 22 Oct 2020 • Cheng Lin, Lingjie Liu, Changjian Li, Leif Kobbelt, Bin Wang, Shiqing Xin, Wenping Wang
Segmenting arbitrary 3D objects into constituent parts that are structurally meaningful is a fundamental problem encountered in a wide range of computer graphics applications.