EDGE
Create and edit dances with EDGE
EDGE is an AI-powered tool for editable dance generation from music. It utilizes a transformer-based diffusion model paired with Jukebox music feature extractor to create realistic and physically-plausible dances while staying faithful to input music. The tool offers powerful editing capabilities such as joint-wise conditioning, motion in-betweening, and dance continuation. EDGE stands out in dance generation compared to other methods, as human raters strongly prefer the dances generated by it. It supports various spatial and temporal constraints, enabling users to create dances of any length and complexity. Additionally, EDGE ensures physical plausibility by addressing foot sliding through Contact Consistency Loss.
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Features
- Editable dance generation from music
- Transformer-based diffusion model
- Jukebox music feature extractor
- Powerful editing capabilities
- Support for spatial and temporal constraints
Advantages
- Realistic and physically-plausible dance generation
- Faithful to input music
- Strong editing capabilities
- Support for various constraints
- Improved physical realism with Contact Consistency Loss
Disadvantages
- Complexity in utilizing all editing features
- Resource-intensive due to AI processing
- Limited customization options for dance styles
Frequently Asked Questions
-
Q:What is EDGE?
A:EDGE is an AI tool for editable dance generation from music. -
Q:What editing capabilities does EDGE offer?
A:EDGE provides joint-wise conditioning, motion in-betweening, and dance continuation. -
Q:How does EDGE ensure physical plausibility?
A:EDGE addresses foot sliding through Contact Consistency Loss.
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EDGE is an AI-powered tool for editable dance generation from music. It utilizes a transformer-based diffusion model paired with Jukebox music feature extractor to create realistic and physically-plausible dances while staying faithful to input music. The tool offers powerful editing capabilities such as joint-wise conditioning, motion in-betweening, and dance continuation. EDGE stands out in dance generation compared to other methods, as human raters strongly prefer the dances generated by it. It supports various spatial and temporal constraints, enabling users to create dances of any length and complexity. Additionally, EDGE ensures physical plausibility by addressing foot sliding through Contact Consistency Loss.
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