Anime2Sketch VS StyleSwin

Compare Anime2Sketch vs StyleSwin and see what are their differences.

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Anime2Sketch StyleSwin
7 1
1,888 462
- 1.3%
3.4 0.0
8 months ago about 1 year 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.

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.

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 Anime2Sketch and StyleSwin you can also consider the following projects:

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."

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

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

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

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

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

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

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”.

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

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

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

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