Generating Diverse and Natural 3D Human Motions from Text

Author:

Guo Chuan1,Zou Shihao1,Zuo Xinxin1,Wang Sen1,Ji Wei1,Li Xingyu1,Cheng Li1

Affiliation:

1. University of Alberta

Publisher

IEEE

Cited by 100 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. IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

2. High-Fidelity Worker Motion Simulation With Generative AI;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2024-08-13

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

4. SleepWalker: Constrastive Fine-tuning Technique for Text to Kinematics Models for Human Computer Interaction;2024 33rd International Conference on Computer Communications and Networks (ICCCN);2024-07-29

5. Sign Motion Generation by Motion Diffusion Model;ACM SIGGRAPH 2024 Posters;2024-07-25

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