sheqi/GAN_Review
A survey paper cataloging and taxonomizing recent Generative Adversarial Network research for computer vision and time series.
Not currently ranked — collecting fresh signals.
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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.
Frequently asked
- What is sheqi/GAN_Review?
- A survey paper cataloging and taxonomizing recent Generative Adversarial Network research for computer vision and time series.
- Is GAN_Review open source?
- Yes — sheqi/GAN_Review is open source, released under the MIT license.
- How popular is GAN_Review?
- sheqi/GAN_Review has 445 stars on GitHub.
- Where can I find GAN_Review?
- sheqi/GAN_Review is on GitHub at https://github.com/sheqi/GAN_Review.