Generative Autoregressive Networks for 3D Dancing Move Synthesis From Music

Author:

Ahn HyeminORCID,Kim JaehunORCID,Kim KihyunORCID,Oh SonghwaiORCID

Funder

Institute of Information & Communications Technology Planning & Evaluation

Korea government

Robot Learning: Efficient, Safe, and Socially-Acceptable Machine Learning

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Cited by 33 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Music-to-Dance Poses: Learning to Retrieve Dance Poses from Music;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Research and Judgment on Foreign Humanoid Robot Technology Frontiers and Industrial Development Situation;Artificial Intelligence and Robotics Research;2024

3. Controllable Group Choreography Using Contrastive Diffusion;ACM Transactions on Graphics;2023-12-05

4. Bailando++: 3D Dance GPT With Choreographic Memory;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-12

5. MNET++: Music-Driven Pluralistic Dancing Toward Multiple Dance Genre Synthesis;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-12

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