16 citations · 26 across the 21 of their papers we have counts for
7 papers · 1 filter
Learning Neural Traffic Rules
Xuan Zhang, Xifeng Gao, Kui Wu +1
Extensive research has been devoted to the field of multi-agent navigation. Recently, there has been remarkable progress attributed to the emergence of learning-based techniques wi…
Consistent Mesh Diffusion
Julian Knodt, Xifeng Gao
Given a 3D mesh with a UV parameterization, we introduce a novel approach to generating textures from text prompts. While prior work uses optimization from Text-to-Image Diffusion…
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…
Provably Robust Semi-Infinite Program Under Collision Constraints via Subdivision
Duo Zhang, Chen Liang, Xifeng Gao +2
We present a semi-infinite program (SIP) solver for trajectory optimizations of general articulated robots. These problems are more challenging than standard Nonlinear Program (NLP…