Self-supervised Dance Video Synthesis Conditioned on Music

Author:

Ren Xuanchi1,Li Haoran1,Huang Zijian2,Chen Qifeng1

Affiliation:

1. The Hong Kong University of Science and Technology, Hong Kong, Hong Kong

2. The Hong Kong University of Science and Technology, Hong Kong, China

Publisher

ACM

Reference49 articles.

1. Hyemin Ahn Jaehun Kim Kihyun Kim and Songhwai Oh. 2020. Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music. IEEE Robotics and Automation Letters (2020). Hyemin Ahn Jaehun Kim Kihyun Kim and Songhwai Oh. 2020. Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music. IEEE Robotics and Automation Letters (2020).

2. Omid Alemi Jules Francc oise and Philippe Pasquier. 2017. GrooveNet: Real-time music-driven dance movement generation using artificial neural networks. networks (2017). Omid Alemi Jules Francc oise and Philippe Pasquier. 2017. GrooveNet: Real-time music-driven dance movement generation using artificial neural networks. networks (2017).

3. Joan Bruna Pablo Sprechmann and Yann LeCun. 2016. Super-Resolution with Deep Convolutional Sufficient Statistics. In ICLR. Joan Bruna Pablo Sprechmann and Yann LeCun. 2016. Super-Resolution with Deep Convolutional Sufficient Statistics. In ICLR.

4. Haoye Cai Chunyan Bai Yu-Wing Tai and Chi-Keung Tang. 2018. Deep video generation prediction and completion of human action sequences. In ECCV. Haoye Cai Chunyan Bai Yu-Wing Tai and Chi-Keung Tang. 2018. Deep video generation prediction and completion of human action sequences. In ECCV.

5. Z. Cao G. Hidalgo Martinez T. Simon S. Wei and Y. A. Sheikh. 2019. OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence (2019). Z. Cao G. Hidalgo Martinez T. Simon S. Wei and Y. A. Sheikh. 2019. OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence (2019).

Cited by 39 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. A Survey of Cross-Modal Visual Content Generation;IEEE Transactions on Circuits and Systems for Video Technology;2024-08

2. DanceGen: Supporting Choreography Ideation and Prototyping with Generative AI;Designing Interactive Systems Conference;2024-07

3. BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30

4. CoDancers: Music-Driven Coherent Group Dance Generation with Choreographic Unit;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30

5. 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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3