Text Conditioned Generative Adversarial Networks Generating Images and Videos: A Critical Review

Generative adversarial networks (GANs) have attained a lot of attention in the deep learning community and have been in focus for the past few years. GAN finds its application in numerous tasks, among which generation of images or videos from text is regarded as the most impressive application w.r.t...

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Vydáno v:	SN computer science Ročník 5; číslo 7; s. 935
Hlavní autoři:	Mehmood, Rayeesa, Bashir, Rumaan, Giri, Kaiser J.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Singapore Springer Nature Singapore 05.10.2024 Springer Nature B.V
Témata:	Attention Cognitive tasks Computer Imaging Computer Science Computer Systems Organization and Communication Networks Computer vision Data Structures and Information Theory Datasets Deep learning Generative adversarial networks Information Systems and Communication Service Machine learning Markov analysis Natural language processing Neural networks Normal distribution Pattern Recognition and Graphics Review Article Software Engineering/Programming and Operating Systems Speech recognition State-of-the-art reviews Tabulation Transformers Video Vision Variational autoencoders Computer vision Text conditioned GANs Deep generative models Generative adversarial networks Transformers Diffusion models Natural language processing
ISSN:	2661-8907, 2662-995X, 2661-8907
On-line přístup:	Získat plný text
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