ArtGAN VS StyleSwin

Compare ArtGAN vs StyleSwin and see what are their differences.

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”. (by cs-chan)
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ArtGAN StyleSwin
1 1
401 462
- 0.0%
3.6 0.0
8 months ago about 1 year ago
Python Python
BSD 3-clause "New" or "Revised" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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ArtGAN

Posts with mentions or reviews of ArtGAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-03.
  • I'm looking for hoards of modern digital art to train an AI to generate art
    2 projects | /r/DataHoarder | 3 Mar 2021
    This could help: https://github.com/cs-chan/ArtGAN https://archive.org/details/academictorrents_1d154cde2fab9ec8039becd03d9bb877614d351b Reach out to e.g. the National Gallery of Art providing proof of your student status (like enrollment cert and a note from your prof); they might be able to provide you with a bulk download option for their paintings. Reach out to the art department and the library of your uni - they might be able to help.

StyleSwin

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

What are some alternatives?

When comparing ArtGAN and StyleSwin you can also consider the following projects:

ebsynth - Fast Example-based Image Synthesis and Style Transfer

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

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

stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

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

Anime2Sketch - A sketch extractor for anime/illustration.

Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

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

MobileStyleGAN.pytorch - An official implementation of MobileStyleGAN in PyTorch

contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)