EDGE | Editable Dance Generation from Music

Generate captivating dances from music with EDGE! Create realistic choreographies using powerful editing features.…

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  • Gaming

⚙️  Tech Specs

❑ Is this Mobile Friendly?

  Yes!

❑ Tech Stack:

Webflow, Ruby, Ruby on Rails, Bootstrap, Varnish, GitHub Pages, jsDelivr, Google Font API, jQuery, Fastly, DigiCert

📡  Connect

❑ Tool Name:

  EDGE

Connect with QR

edge-QR-Code-AI-Tool

〒 Know More

❑ Use it For:

  Gaming

❑ Pricing Options:

  Free

❑ Suitable Tags:

  Open Source, Self Hosted, Web Browser

EDGE: Editable Dance Generation from Music is an innovative AI tool that creates realistic, physically-plausible dances synchronized with input music. This powerful method uses a transformer-based diffusion model paired with Jukebox, a robust music feature extractor. EDGE encodes input music into embeddings using a frozen Jukebox model. A conditional diffusion model then maps these embeddings into a series of 5-second dance clips. At inference time, temporal constraints ensure consistency before stitching clips into full-length videos.

Major Highlights

  • High-quality choreographies generated from music
  • Powerful editing capabilities for dance creation
  • Joint-wise conditioning for precise movement control
  • Motion in-betweening for smooth transitions
  • Dance continuation for extended performances
  • Avoids unintentional foot sliding
  • New Contact Consistency Loss for improved physical realism
  • Outperforms previous methods in human preference studies
  • Supports arbitrary spatial and temporal constraints
  • Matches ground truth diversity while maintaining high fidelity

Use Cases

  • Creating dance animations for music videos
  • Generating choreography ideas for dancers and choreographers
  • Producing dance content for video games and virtual reality experiences
  • Assisting in the creation of dance-based fitness routines
  • Developing interactive dance learning applications
  • Enhancing live performances with AI-generated background dancers
  • Creating dance visualizations for music streaming platforms
  • Aiding in motion capture and animation processes for film and TV
  • Generating dance moves for social media dance challenges
  • Assisting in the creation of dance therapy exercises

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