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arXiv · 2012.15446

Generative Adversarial Network for Image Synthesis

Yang Lei·Richard L. J. Qiu·Tonghe Wang·Walter J. Curran·Tian Liu·Xiaofeng Yang
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Abstract

This chapter reviews recent developments of generative adversarial networks (GAN)-based methods for medical and biomedical image synthesis tasks. These methods are classified into conditional GAN and Cycle-GAN according to the network architecture designs. For each category, a literature survey is given, which covers discussions of the network architecture designs, highlights important contributions and identifies specific challenges.

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Yang Lei, Richard L. J. Qiu, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang. 2020-12-31. Generative Adversarial Network for Image Synthesis. https://arxiv.org/abs/2012.15446

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