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Repost from Data science research papers
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InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
Publication date: 3 Apr 2024
Topic: Image Generation
Paper: https://arxiv.org/pdf/2404.02733v2.pdf
GitHub: https://github.com/instantstyle/instantstyle
Description:
In this paper, we commence by examining several compelling yet frequently overlooked observations. We then proceed to introduce InstantStyle, a framework designed to address these issues through the implementation of two key strategies: 1) A straightforward mechanism that decouples style and content from reference images within the feature space, predicated on the assumption that features within the same space can be either added to or subtracted from one another. 2) The injection of reference image features exclusively into style-specific blocks, thereby preventing style leaks and eschewing the need for cumbersome weight tuning, which often characterizes more parameter-heavy designs.
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Data Spaces
by Edward Curry • Simon Scerri • Tuomo Tuikka
📄 367 pages
#Data #Spaces
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An Introduction to Information Theory and Applications
Authors: F Bavaud, J C Chappelier and J Kohlas
📄 293 pages
#Information
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👍 5
Statistics and Machine Learning in Python
Authors: Edouard Duchesnay, Tommy Löfstedt, Feki Younes
📄 388 pages
#python
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