TobiasSunderdiek/cartoon-gan
Implementation of cartoon GAN [Chen et al., CVPR18] with pytorch
This tool helps artists, graphic designers, or anyone working with visual media transform real-world photos into images that look like hand-drawn cartoons. You provide a standard photograph, and the system outputs a stylized version that mimics various cartoon aesthetics. It's ideal for visual content creators looking to add a unique, artistic touch to their photos.
No commits in the last 6 months.
Use this if you want to quickly and automatically convert photographs into a distinct cartoon art style.
Not ideal if you need to create entirely new cartoon illustrations from scratch or require precise artistic control over every line and shade.
Stars
61
Forks
24
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 24, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/TobiasSunderdiek/cartoon-gan"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
minivision-ai/photo2cartoon
人像卡通化探索项目 (photo-to-cartoon translation project)
mnicnc404/CartoonGan-tensorflow
Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
manicman1999/StyleGAN2-Tensorflow-2.0
StyleGAN 2 in Tensorflow 2.0
kaonashi-tyc/zi2zi
Learning Chinese Character style with conditional GAN
yunxiaoshi/Neural-IMage-Assessment
A PyTorch Implementation of Neural IMage Assessment