DragGAN VS Paint-by-Example

Compare DragGAN vs Paint-by-Example and see what are their differences.

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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DragGAN Paint-by-Example
9 2
4,988 980
0.4% -
8.4 3.3
10 months ago 6 months ago
Python Python
- GNU General Public License v3.0 or later
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.

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.

Paint-by-Example

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

What are some alternatives?

When comparing DragGAN and Paint-by-Example 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

Paint-by-Sketch - Stable Diffusion-based image manipulation method with a sketch and reference image

Stable-Diffusion-Latent-Space-Explorer - Codebase for performing various experiments with Stable Diffusion, supported by the diffusers library.

DeepCache - [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free