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What is Generalizable Style Transfer Framework about?

This document presents a unified framework for image style transfer that separates style and content representations, enhancing generalizability to new styles and contents. The framework includes a style encoder, content encoder, mixer, and decoder, allowing for simultaneous style transfer across multiple styles without the need for retraining. Experimental results demonstrate the effectiveness and robustness of the proposed methods for both character typeface transfer and neural style transfer.

Author

lâm nguyễn

Language

EN