DragGAN
Interactive point-based image manipulation using GANs.
About
DragGAN from the Max Planck Institute enables interactive point-based image editing on the generative manifold of a GAN. Users place handle and target points and drag them to deform, move, resize, or rotate parts of an image, and the model regenerates realistic results that follow the edits. It builds on StyleGAN and runs on CUDA GPUs, with CPU and Apple Silicon fallbacks. Released under a custom research license.
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Details
- Category
- AI Image/Video Editing
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- Custom
- Minimum VRAM
- 8 GB
- Added
- Apr 3, 2026
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