Unmasking Generative Adversarial Networks
summary
Explains how Generative Adversarial Networks (GANs) power image-generation and face-modification apps like FaceApp and Deepfake, describing the algorithms and AI trends behind identity-changing results. Covers GAN basics and many variants and architectures such as CycleGAN, ProGAN and GauGAN, with examples of their applications to human-face image generation and modification.
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chapters (5)
- 0:00Start
- 11:22Types of neural networks
- 13:03Pattern extraction in images
- 36:42Ctrl shift face
- 37:10Two minute papers
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