Stanford-TML/EDGE
Official PyTorch Implementation of EDGE (CVPR 2023)
This project helps choreographers, animators, or dance enthusiasts quickly create new, realistic dance routines. You input a music file, and it generates a corresponding dance sequence. The output is a digital dance motion that can be further edited or imported into 3D animation software.
552 stars. No commits in the last 6 months.
Use this if you need to rapidly generate dance movements that are physically plausible and synchronized with music, with options for fine-tuning specific body parts or sections.
Not ideal if you're looking for a simple, plug-and-play web tool for basic animation, or if you don't have access to high-end computing resources and technical expertise.
Stars
552
Forks
96
Language
Python
License
MIT
Category
Last pushed
Jan 05, 2024
Commits (30d)
0
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