activity
20182026
most citedSEG-MAT: 3D Shape Segmentation Using Medial Axis Transform

43 citations · 83 across the 10 of their papers we have counts for

collaborators

11 papers

cs.GR2026

QuadLink: Autoregressive Quad-Dominant Mesh Generation via Point-Relation Learning

Yiheng Zhang, Zhe Zhu, Tingrui Shen +11

The generation of production-ready quad-dominant meshes is a cornerstone of modern 3D content creation. Generating anisotropic quad-dominant meshes from point clouds is challenging…

cs.GR2026

CelloCut: Constructive Watertight Remeshing via Tetrahedral Cell Cuts

Xuan Yang, Yuhang Zeng, Dinglong Fang +6

Watertight remeshing aims to recover a surface that induces a globally consistent interior--exterior partition of 3D space. However, for meshes with complex topology, single-layer…

cs.CV2024★ 1 cited

Adaptive Surface Normal Constraint for Geometric Estimation from Monocular Images

Xiaoxiao Long, Yuhang Zheng, Yupeng Zheng +6

We introduce a novel approach to learn geometries such as depth and surface normal from images while incorporating geometric context. The difficulty of reliably capturing geometric…

cs.CV2023★ 25 cited

Wonder3D: Single Image to 3D using Cross-Domain Diffusion

Xiaoxiao Long, Yuan-Chen Guo, Cheng Lin +8

In this work, we introduce Wonder3D, a novel method for efficiently generating high-fidelity textured meshes from single-view images.Recent methods based on Score Distillation Samp…

cs.CV2023★ 3 cited

NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images

Yuan Liu, Peng Wang, Cheng Lin +5

We present a neural rendering-based method called NeRO for reconstructing the geometry and the BRDF of reflective objects from multiview images captured in an unknown environment.…

cs.CV2022★ 2 cited

3PSDF: Three-Pole Signed Distance Function for Learning Surfaces with Arbitrary Topologies

Weikai Chen, Cheng Lin, Weiyang Li +1

Recent advances in learning 3D shapes using neural implicit functions have achieved impressive results by breaking the previous barrier of resolution and diversity for varying topo…