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Zixin Yin

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Training Skills Like Parameters via Self-Supervised Semantic Diffusion

Experimental results demonstrate that this novel, unsupervised self-evolving agent framework inspired by the corruption-and-reconstruction paradigm of diffusion models enables the agent to autonomously extract and internalize highly generalizable skills, significantly enhancing its domain-specific generation capabiliti...

Mo Li, Zixin Yin, Ting Cao et al. · 0 citations
Book Open access Jul 2026

Motion4Motion: Motion Transfer Across Subjects at Inference

This work explores the motion transfer from one video to another, which is crucial in animation for diverse characters. Previously, video motion transfer has been largely explored between human and human-like characters, enabling a lot of applications in digital creation. However, these approaches encounter a main limi...

Ling-Hao Chen, Zixin Yin, Duomin Wang et al. · 0 citations

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