1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.GR2026
SLIM: Learning an Operator for Material-Efficient 3D Lattice Refinement
Yueze Zhu, Yu Xing, Tianyang Xue +4
Lattice inverse-design methods can generate cells that match prescribed effective properties, but property feasibility does not imply material efficiency. Removing redundant materi…
cs.GR2025
DeepMill: Neural Accessibility Learning for Subtractive Manufacturing
Fanchao Zhong, Yang Wang, Peng-Shuai Wang +2
Manufacturability is vital for product design and production, with accessibility being a key element, especially in subtractive manufacturing. Traditional methods for geometric acc…
cs.CV2025★ 1 cited
MIND: Microstructure INverse Design with Generative Hybrid Neural Representation
Tianyang Xue, Haochen Li, Longdu Liu +7
The inverse design of microstructures plays a pivotal role in optimizing metamaterials with specific, targeted physical properties. While traditional forward design methods are con…