5 papers
Varying Manifolds in Diffusion: From Time-varying Geometries to Visual Saliency
Junhao Chen, Manyi Li, Zherong Pan +2
Deep generative models learn the data distribution, which is concentrated on a low-dimensional manifold. The geometric analysis of distribution transformation provides a better und…
Learning Reduced-Order Soft Robot Controller
Chen Liang, Xifeng Gao, Kui Wu +1
Deformable robots are notoriously difficult to model or control due to its high-dimensional configuration spaces. Direct trajectory optimization suffers from the curse-of-dimension…
Second-Order Convergent Collision-Constrained Optimization-Based Planner
Chen Liang, Xifeng Gao, Kui Wu +1
Finding robot poses and trajectories represents a foundational aspect of robot motion planning. Despite decades of research, efficiently and robustly addressing these challenges is…
Learning based 2D Irregular Shape Packing
Zeshi Yang, Zherong Pan, Manyi Li +2
2D irregular shape packing is a necessary step to arrange UV patches of a 3D model within a texture atlas for memory-efficient appearance rendering in computer graphics. Being a jo…
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…