Generative Adversarial Networks
Delivered October 31, 2019. Contributor: Joseph M.
Goals
To find information on the use of Generative Adversarial Networks in changing facial attributes such as closing eyes and changing facial expressions on demand in a photo-realistic way.
Early Findings
Generative Adversarial Networks
- According to Tech Target, Generative Adversarial Networks (GAN) is a "machine learning model in which two neural networks compete with each other to become more accurate in their predictions."
- GAN is used in a variety of ways that include photograph editing, face aging, photo blending, among many other uses.
- There are numerous repos and peer reviewed research papers on using GAN to manipulate facial attributes.
Repos
Research Papers
- Examples of research papers on the use of GAN in the manipulation of facial attributes include:
Proposed next steps:
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