Cartoon-StyleGAN VS DualStyleGAN

Compare Cartoon-StyleGAN vs DualStyleGAN and see what are their differences.

Cartoon-StyleGAN

Fine-tuning StyleGAN2 for Cartoon Face Generation (by happy-jihye)

DualStyleGAN

[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer (by williamyang1991)
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Cartoon-StyleGAN DualStyleGAN
1 3
629 1,557
- -
0.0 0.7
over 2 years ago about 1 year ago
Jupyter Notebook Jupyter Notebook
- 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.

Cartoon-StyleGAN

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

DualStyleGAN

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

What are some alternatives?

When comparing Cartoon-StyleGAN and DualStyleGAN you can also consider the following projects:

stylegan-encoder - StyleGAN Encoder - converts real images to latent space

encoder4editing - Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766

cartoonify - Deploy and scale serverless machine learning app - in 4 steps.

StyleCLIPDraw - Styled text-to-drawing synthesis method. Featured at IJCAI 2022 and the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design

pix2pix - This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.

DotA2-Icon-GAN - Using GANs to generate DotA2 Ability Icons

TargetCLIP - [ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

AnimeGANv2 - [Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

FixNoise - Official Pytorch Implementation for "Fix the Noise: Disentangling Source Feature for Controllable Domain Translation" (CVPR 2023, CVPRW 2022 Best paper)

Did-Somebody-Say-Corgi - Image Synthesis + Corgis = <3

stable-diffusion-reference-only - img2img version of stable diffusion. Anime Character Remix. Line Art Automatic Coloring. Style Transfer.