StyleCLIPDraw VS DualStyleGAN

Compare StyleCLIPDraw vs DualStyleGAN and see what are their differences.

StyleCLIPDraw

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

DualStyleGAN

[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer (by williamyang1991)
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StyleCLIPDraw DualStyleGAN
4 3
274 1,557
- -
0.0 0.7
over 1 year ago about 1 year ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only 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.

StyleCLIPDraw

Posts with mentions or reviews of StyleCLIPDraw. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-07.

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 StyleCLIPDraw and DualStyleGAN you can also consider the following projects:

animegan2-pytorch - PyTorch implementation of AnimeGANv2

Cartoon-StyleGAN - Fine-tuning StyleGAN2 for Cartoon Face Generation

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.

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

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.