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We introduce a novel task within the field of 3D dance generation, termed dance accompaniment, which necessitates the generation of responsive movements from a dance partner, the "follower", synchronized with the lead dancer's movements and the underlying musical rhythm.
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Andrej Karpathy · 2020
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Ruozi Huang, Huang Hu, Wei Wu, Kei Sawada, Mi Zhang, and Daxin Jiang · 2021
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Mathis Petrovich, Michael J Black, and Gül Varol · 2021
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Rhythmic gesticulator: Rhythm-aware co-speech gesture synthesis with hierarchical neural embeddings
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Human-aware object placement for visual environment reconstruction
Hongwei Yi, Chun-Hao P Huang, Dimitrios Tzionas, Muhammed Kocabas, Mohamed Hassan, Siyu Tang, Justus Thies, and Michael J Black · 2022
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Motiondiffuse: Text-driven human motion generation with diffusion model
Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, and Ziwei Liu · 2022
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Compositional human-scene interaction synthesis with semantic control
Kaifeng Zhao, Shaofei Wang, Yan Zhang, Thabo Beeler, and Siyu Tang · 2022
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Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, and Tao Chen · 2023
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Task-oriented human-object interactions generation with implicit neural representations
Quanzhou Li, Jingbo Wang, Chen Change Loy, and Bo Dai · 2023
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Han Liang, Wenqian Zhang, Wenxuan Li, Jingyi Yu, and Lan Xu · 2023
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Human motion diffusion as a generative prior
Yonatan Shafir, Guy Tevet, Roy Kapon, and Amit H Bermano · 2023
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Edge: editable dance generation from music
Jonathan Tseng, Rodrigo Castellon, and C Karen Liu · 2023
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Mime: Human-aware 3d scene generation
Hongwei Yi, Chun-Hao P Huang, Shashank Tripathi, Lea Hering, Justus Thies, and Michael J Black · 2023
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