JiauZhang/DragGAN
Implementation of DragGAN: Interactive Point-based Manipulation on the Generative Image Manifold observed · 2026-08-28
Health v2 · maintenance only
29/100
- Activity 0
- Release rhythm 35
- Longevity 85
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1202
- days_rel: n/a
- days_push: 1149
- n_releases_24m: 0
Adoption not part of the score
2128 stars · 157 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python implementation of DragGAN, a research method for interactively manipulating generated images by dragging points on the generative image manifold of a StyleGAN2 model. It includes a dearpygui-based GUI demo and relies on pre-trained StyleGAN2 checkpoints.
Use cases
- drag points to edit GAN-generated images
- reproduce DragGAN research results
- experiment with StyleGAN2 latent manipulation
- run an interactive demo of point-based image editing
- study generative image manifold manipulation
When to choose
- you want an open-source reference implementation of the DragGAN paper
- you need a lightweight GUI demo for point-based GAN image editing
- you are doing research on GAN-based image manipulation
When to avoid
- you need to edit real photographs (loading real images is not yet supported)
- you need a production-ready image editor
- you want masked or region-constrained editing (not implemented)
Facets
library · maturity experimental
image-processing machine-learning deep-learning gui computer-vision image-processing deep-learning artificial-intelligence python windows draggan stylegan2 gan generative-models image-manipulation pytorch point-based-editing linux macos
1 source
- readme: https://github.com/JiauZhang/DragGAN · fetched 2026-08-28 · b8513ac5fe65
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| JiauZhang/DragGAN | main | 29 |
For agents
markdown · JSON · MCP: product_card(name="JiauZhang/DragGAN")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem