3 citations · 8 across the 13 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
math.NA2026
Area-Preserving Parameterization: Variational Principle, Gradient Flow, and Discrete Approximation
Shu-Yung Liu, Kento Sakai, Mei-Heng Yueh
Area-preserving parameterizations are used in applications where relative surface areas must be preserved. We study this problem through the stretch energy. For orientation-preserv…
cs.CV2026
DiffRGD: An Inference-Time Diffusion Guidance Through Riemannian Gradient Descent
Jia-Wei Liao, Li-Xuan Peng, Mei-Heng Yueh +3
Recently, diffusion models have been widely adopted in generative modeling and have served as foundational models for many image generation tasks. To control the generation without…