JarrentWu1031/CCPL
[ECCV 2022 Oral] Official Pytorch implementation of CCPL and SCTNet
This project helps graphic designers, digital artists, or video editors apply the visual style from one image or video to another, while maintaining the original content's details. You provide a 'content' image (or video frames) and a 'style' image, and it generates a new image or video where the content adopts the style. It's for anyone looking to creatively transform the aesthetic of their visual media.
203 stars. No commits in the last 6 months.
Use this if you need to transfer artistic styles (like from a painting) or create photo-realistic style transfers, even for videos, while ensuring the output remains coherent and high-quality.
Not ideal if you are looking for simple image filters or basic color adjustments, as this tool is designed for more complex, AI-driven style transformation tasks.
Stars
203
Forks
27
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 17, 2024
Commits (30d)
0
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