StyleSwin VS ArtGAN

Compare StyleSwin vs ArtGAN 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)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
StyleSwin ArtGAN
1 1
462 400
1.3% -
0.0 3.6
about 1 year ago 8 months ago
Python Python
MIT License BSD 3-clause "New" or "Revised" 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.

StyleSwin

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

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.

What are some alternatives?

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

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

ebsynth - Fast Example-based Image Synthesis and Style Transfer

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

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

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

Anime2Sketch - A sketch extractor for anime/illustration.

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

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

Mask3D - Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

MobileStyleGAN.pytorch - An official implementation of MobileStyleGAN in PyTorch