sheqi/GAN_Review
A survey paper cataloging and taxonomizing recent Generative Adversarial Network research for computer vision and time series.

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This repository hosts an academic survey of GANs published in ACM Computing Surveys. It provides a taxonomy of recent GAN architectures organized by type and application domain. The repo includes curated paper lists, code references, and visualizations of the GAN landscape for computer vision applications, alongside coverage of GAN extensions for time series generation.