Improving Complex Scene Generation by Enhancing Multi-scale Representations of GAN Discriminators

While recent advances of GAN models enabled photo-realistic synthesis of various object images, challenges still remain in modeling more complex image distributions such as scenes with multiple objects. The difficulty lies in the high structural complexity of scene images, where the discriminator ca...

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Bibliographic Details
Main Authors:	Lee, H. (Author), Lee, S. (Author), Park, J. (Author), Shim, J. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:	Complex networks Complex scenes Discriminators Feature extraction Features extraction Generative adversarial networks Generative Adversarial Networks Generator Generators Image enhancement Job analysis Personnel training Scene generation Scene Generation Scene image Self-supervised learning Self-Supervised Learning Supervised learning Task analysis Training Transfer learning Transfer Learning
Online Access:	View Fulltext in Publisher View in Scopus

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View Fulltext in Publisher
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Improving Complex Scene Generation by Enhancing Multi-scale Representations of GAN Discriminators

Internet

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