Recurrent Affine Transformation for Text-to-image Synthesis

Text-to-image synthesis aims to generate realistic images conditioned on text descriptions. To fuse text information into synthesized images, conditional affine transformations (CATs), such as conditional batch normalization (CBN) and conditional instance normalization (CIN), are usually used to pre...

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Veröffentlicht in:	IEEE transactions on multimedia 2024-01, Vol.26, p.1-11
Hauptverfasser:	Ye, Senmao, Wang, Huan, Tan, Mingkui, Liu, Fei
Format:	Artikel
Sprache:	eng
Schlagworte:	Affine transformations Cats Computational modeling Effectiveness Fuses generative adversarial network Generative adversarial networks Generators Multilayers recurrent neural network Recurrent neural networks spatial attention Synthesis Task analysis Text-to-image Training Visualization
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