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ICLR2025顶会

TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio Motion Embedding and Diffusion Interpolation

Haiyang Liu, Xingchao Yang, Tomoya Akiyama, Yuantian Huang, Qiaoge Li, Shigeru Kuriyama, Takafumi Taketomi

出版方
2025年份
12顶会引用

摘要

TANGO is a framework designed to generate co-speech body-gesture videos using a motion graph-based retrieval approach. It first retrieves most of the reference video clips that match the target speech audio by utilizing an implicit hierarchical audio-motion embedding space. Then, it adopts a diffusion-based interpolation network to generate the remaining transition frames and smooth the discontinuities at clip boundaries.

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