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UID:siggraph_SIGGRAPH 2026_sess152_papers_1219@linklings.com
SUMMARY:MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Da
 nce Video Generation
DESCRIPTION:Kaixing Yang (Renmin University of China); Jiashu Zhu (Alibaba
  Group, AMAP); Xulong Tang (Malou Tech Inc); Ziqiao Peng (Renmin Universit
 y of China); Xiangyue Zhang (Wuhan University); Puwei Wang (Renmin Univers
 ity of China); Jiahong Wu and Xiangxiang Chu (Alibaba Group, AMAP); Hongya
 n Liu (Tsinghua University); and Jun He (Renmin University of China)\n\nMA
 CE-Dance generates dance videos from music using cascaded motion and appea
 rance experts. It first produces expressive 3D dance motion from music, th
 en animates a reference image into a temporally coherent video. The paper 
 also introduces MA-Data, a large-scale dataset and evaluation protocol for
  this task.\n\nInterest Area: Research & Education\n\nKeyword: Animation, 
 Artificial Intelligence/Machine Learning, Generative AI, Modeling\n\nRegis
 tration Category: Full Conference Supporter, Full Conference\n\nSession Ch
 air: Dan B Goldman (Lucasfilm, Ltd.; Industrial Light & Magic)\n\n
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