4 papers
Quantifying Non-linearity in Topology Optimization with similarity based Visualization
Ziliang Wang, Jiahua Wu, Jun Yang +1
Topology optimization (TO) can be viewed as seeking an optimal solution in the design space of a given TO problem. For weakly non-linear TO problems, e.g., compliance minimization,…
Computationally Efficient Data-Driven Topology Design Independent from High-Infoentropy Initial Dataset
Jun Yang, Ziliang Wang, Shintaro Yamasaki
Topology optimization (TO) has been widely adopted in engineering design; however, it is prone to being trapped in local optima, particularly in strongly nonlinear problems. Sensit…
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…
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…