Retrieval-augmented human motion generation with diffusion model

Human motion generation is a crucial area of research with the potential to bring lifelike characters and movements to various applications, enhancing user engagement and immersion. However, the intricacy and diversity of human movements, the scarcity of motion data, the difficulty of incorporating...

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Bibliographic Details
Main Author: Guo, Xinying
Other Authors: Liu Ziwei
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167733
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Institution: Nanyang Technological University
Language: English
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