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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/167733 |