White-box-Cartoonization VS AnimeGANv3

Compare White-box-Cartoonization vs AnimeGANv3 and see what are their differences.

White-box-Cartoonization

Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations” (by SystemErrorWang)

AnimeGANv3

Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime. (by TachibanaYoshino)
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White-box-Cartoonization AnimeGANv3
7 3
3,905 1,582
- -
0.0 7.1
over 1 year ago 3 months ago
Python Python
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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.

White-box-Cartoonization

Posts with mentions or reviews of White-box-Cartoonization. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-03.

AnimeGANv3

Posts with mentions or reviews of AnimeGANv3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-11.

What are some alternatives?

When comparing White-box-Cartoonization and AnimeGANv3 you can also consider the following projects:

CartoonGAN-Test-Pytorch-Torch - Pytorch and Torch testing code of CartoonGAN [Chen et al., CVPR18]

AnimeGANv2 - [Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

editly - Slick, declarative command line video editing & API

ArcaneGAN - ArcaneGAN

cartoonize - A demo webapp to convert images and videos into cartoon!

animegan2-pytorch - PyTorch implementation of AnimeGANv2

EZFilter - A lightweight (<180KB), easy-to-extend Android filter and dynamic sticker framework for adding filters and stickers for camera, video, bitmap and view.(一个轻量级(<180KB)、易扩展的Android滤镜和动态贴纸框架,支持摄像头、视频、图片和视图添加滤镜和贴纸。)

JoJoGAN - Official PyTorch repo for JoJoGAN: One Shot Face Stylization

toonify

techniques - Techniques for deep learning with satellite & aerial imagery