StyleSwin VS contrastive-unpaired-translation

Compare StyleSwin vs contrastive-unpaired-translation and see what are their differences.

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StyleSwin contrastive-unpaired-translation
1 6
462 2,102
1.3% -
0.0 2.1
about 1 year ago 8 months ago
Python Python
MIT License 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.

StyleSwin

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

contrastive-unpaired-translation

Posts with mentions or reviews of contrastive-unpaired-translation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-09.

What are some alternatives?

When comparing StyleSwin and contrastive-unpaired-translation you can also consider the following projects:

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

pytorch-AdaIN - Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

Anime2Sketch - A sketch extractor for anime/illustration.

vrn - :man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

ArtGAN - ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.

mmagic - OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

TFill - [CVPR 2022]: Bridging Global Context Interactions for High-Fidelity Image Completion

PyTorch-GAN - PyTorch implementations of Generative Adversarial Networks.