DualStyleGAN VS StyleCLIPDraw

Compare DualStyleGAN vs StyleCLIPDraw and see what are their differences.

DualStyleGAN

[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer (by williamyang1991)

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)
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DualStyleGAN StyleCLIPDraw
3 4
1,557 268
- -
0.7 0.0
about 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 or later GNU General Public License v3.0 only
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.

DualStyleGAN

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

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.

What are some alternatives?

When comparing DualStyleGAN and StyleCLIPDraw you can also consider the following projects:

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

animegan2-pytorch - PyTorch implementation of AnimeGANv2

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.