GANime VS UGATIT

Compare GANime vs UGATIT and see what are their differences.

GANime

A deep learning program that automatically generates colorized anime characters based on sketch drawings. (by taivu1998)

UGATIT

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020) (by taki0112)
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GANime UGATIT
1 2
28 6,168
- -
0.0 0.0
over 3 years ago almost 3 years ago
Python Python
MIT License 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.

GANime

Posts with mentions or reviews of GANime. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-06.

UGATIT

Posts with mentions or reviews of UGATIT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-06.

What are some alternatives?

When comparing GANime and UGATIT you can also consider the following projects:

Anime2Sketch - A sketch extractor for anime/illustration.

U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."