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01 Objective C Notes For Professionals | 691 | 6 | Loading... |
02 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. | 1 667 | 12 | Loading... |
03 Exploring Programming Language Architecture in Perl | 2 334 | 19 | Loading... |
04 Pandas complete tutorial | 2 761 | 23 | Loading... |
05 Data Spaces
by Edward Curry β’ Simon Scerri β’ Tuomo Tuikka
π 367 pages
#Data #Spaces
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Join @programming_books_bds for more | 3 564 | 19 | Loading... |
06 An Introduction to Information Theory and Applications
Authors: F Bavaud, J C Chappelier and J Kohlas
π 293 pages
#Information
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Join @programming_books_bds for more | 3 938 | 16 | Loading... |
07 Statistics and Machine Learning in Python
Authors: Edouard Duchesnay, Tommy LΓΆfstedt, Feki Younes
π 388 pages
#python
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Join @programming_books_bds for more | 8 073 | 95 | Loading... |
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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.
π 2β€ 1π₯° 1
Pandas complete tutorial
π 7
Data Spaces
by Edward Curry β’ Simon Scerri β’ Tuomo Tuikka
π 367 pages
#Data #Spaces
βββββββββββββ
Join @programming_books_bds for more
π 7
An Introduction to Information Theory and Applications
Authors: F Bavaud, J C Chappelier and J Kohlas
π 293 pages
#Information
βββββββββββββ
Join @programming_books_bds for more
π 5
Statistics and Machine Learning in Python
Authors: Edouard Duchesnay, Tommy LΓΆfstedt, Feki Younes
π 388 pages
#python
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Join @programming_books_bds for more
π 8