AnyDoor VS DragGAN

Compare AnyDoor vs DragGAN and see what are their differences.

AnyDoor

Official implementations for paper: Anydoor: zero-shot object-level image customization (by ali-vilab)

DragGAN

Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" (DragGAN 全功能实现,在线Demo,本地部署试用,代码、模型已全部开源,支持Windows, macOS, Linux) (by OpenGVLab)
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AnyDoor DragGAN
1 9
3,705 4,982
3.6% 0.3%
6.7 8.4
about 1 month ago 10 months ago
Python Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

AnyDoor

Posts with mentions or reviews of AnyDoor. We have used some of these posts to build our list of alternatives and similar projects.

DragGAN

Posts with mentions or reviews of DragGAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-27.

What are some alternatives?

When comparing AnyDoor and DragGAN you can also consider the following projects:

PTI - Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744