StyleSwin VS Anime2Sketch

Compare StyleSwin vs Anime2Sketch and see what are their differences.

StyleSwin

[CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation (by microsoft)
Computer Vision Deep Learning deep-neural-networks Pytorch generative-adversarial-network Gans image-generation image-synthesis styleswin Transformer
Source Code
arxiv.org
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Anime2Sketch

A sketch extractor for anime/illustration. (by Mukosame)
Pytorch Deep Learning Gan Anime Sketch wacv gradio comic Manga Computer Vision generative-adversarial-network image-generation Gans
Source Code
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StyleSwin Anime2Sketch
1 7
462 1,887
1.3% -
0.0 3.4
about 1 year ago 8 months 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.
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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.

Anime2Sketch

Posts with mentions or reviews of Anime2Sketch. 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 StyleSwin and Anime2Sketch you can also consider the following projects:

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

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."

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

UGATIT - Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)

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

GANime - A deep learning program that automatically generates colorized anime characters based on sketch drawings.

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”.

PromptGallery-stable-diffusion-webui - A prompt cookbook worked as stable-diffusion-webui extenstions.

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

anime-face-detector - Anime Face Detector using mmdet and mmpose

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

clean-fid - PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

StyleSwin vs pix2pixHD Anime2Sketch vs U-2-Net StyleSwin vs pytorch-CycleGAN-and-pix2pix Anime2Sketch vs UGATIT StyleSwin vs anycost-gan Anime2Sketch vs GANime StyleSwin vs ArtGAN Anime2Sketch vs PromptGallery-stable-diffusion-webui StyleSwin vs TFill Anime2Sketch vs anime-face-detector StyleSwin vs contrastive-unpaired-translation Anime2Sketch vs clean-fid