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Strotss

Reimplementation of Style Transfer by Relaxed Optimal Transport and Self-Similarity

Install / Use

/learn @futscdav/Strotss
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

STROTSS

See the original code and links to paper at https://github.com/nkolkin13/STROTSS

Usage:

python strotss.py <content> <style> [--weight 1.0] [--output strotss.png] [--device "cuda:0"]
<p align="center"> <img src="content.jpg" width="350" title="Content"> <img src="style.png" width="350" alt="Style"> <img src="strotss.png" width="350" alt="Result"> </p>

Masked guidance

This version is an implementation of guidance-free style transfer. The original paper shows a path towards mask-based guidance. In that scenario, the user needs to provide correspondences for style transfer source and destinations. Hassan Rasheed extended this implementation to also support that case, so if you are looking for such functionality, you can try his implementation at https://github.com/hassanrasheedk/fast-strotss.

View on GitHub
GitHub Stars81
CategoryDevelopment
Updated11mo ago
Forks15

Languages

Python

Security Score

72/100

Audited on Apr 23, 2025

No findings