5 papers · 1 filter
HOTS3D: Hyper-Spherical Optimal Transport for Semantic Alignment of Text-to-3D Generation
Zezeng Li, Weimin Wang, Yuming Zhao +3
Recent CLIP-guided 3D generation methods have achieved promising results but struggle with generating faithful 3D shapes that conform with input text due to the gap between text an…
NoPain: No-box Point Cloud Attack via Optimal Transport Singular Boundary
Zezeng Li, Xiaoyu Du, Na Lei +2
Adversarial attacks exploit the vulnerability of deep models against adversarial samples. Existing point cloud attackers are tailored to specific models, iteratively optimizing per…
Point2Quad: Generating Quad Meshes from Point Clouds via Face Prediction
Zezeng Li, Zhihui Qi, Weimin Wang +3
Quad meshes are essential in geometric modeling and computational mechanics. Although learning-based methods for triangle mesh demonstrate considerable advancements, quad mesh gene…
MergeNet: Explicit Mesh Reconstruction from Sparse Point Clouds via Edge Prediction
Weimin Wang, Yingxu Deng, Zezeng Li +2
This paper introduces a novel method for reconstructing meshes from sparse point clouds by predicting edge connection. Existing implicit methods usually produce superior smooth and…
Point Cloud Compression via Constrained Optimal Transport
Zezeng Li, Weimin Wang, Ziliang Wang +1
This paper presents a novel point cloud compression method COT-PCC by formulating the task as a constrained optimal transport (COT) problem. COT-PCC takes the bitrate of compressed…