3 papers
cs.GR2025
Simplifying Textured Triangle Meshes in the Wild
Hsueh-Ti Derek Liu, Xiaoting Zhang, Cem Yuksel
This paper introduces a method for simplifying textured surface triangle meshes in the wild while maintaining high visual quality. While previous methods achieve excellent results…
cs.GR2025
CageNet: A Meta-Framework for Learning on Wild Meshes
Michal Edelstein, Hsueh-Ti Derek Liu, Mirela Ben-Chen
Learning on triangle meshes has recently proven to be instrumental to a myriad of tasks, from shape classification, to segmentation, to deformation and animation, to mention just a…
cs.CG2025
Designing 3D Anisotropic Frame Fields with Odeco Tensors
Haikuan Zhu, Hongbo Li, Hsueh-Ti Derek Liu +3
This paper introduces a method to synthesize a 3D tensor field within a constrained geometric domain represented as a tetrahedral mesh. Whereas previous techniques optimize for iso…