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Yoshifumi Kitamura

2 papers indexed

arxivcs.LGcs.CE2026-07-08

HPG-Diff: Hierarchical physics-guided diffusion with differentiable connectivity constraints for topology optimization

Jinbo Yang, Mingyue Yuan, Boyuan Zhang, Yoshifumi Kitamura, Shikai Jing

Deep generative models offer a promising paradigm for topology optimization, enabling rapid design exploration. However, these approaches lack intrinsic physics guidance, often leading to poor generalizability across unseen boundary conditions and the formation of floating materi…

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arxivcs.LG2026-06-27

Generative Learning as a Tool to Improve Perception of Emotional Body Motion Expressions

Huakun Liu, Miao Cheng, Xin Wei, Felix Dollack, Victor Schneider, Hideaki Uchiyama, et al.

Emotional body motion expressions are an essential element of non-verbal communication. Effectively conveying these expressions through technology is of utmost importance, for example, with virtual reality avatars and in social robotics. Recent advances in generative models have…

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