Web: https://pub.towardsai.net/gan-is-diffusion-all-you-need-5ef127fa4ca?source=rss----98111c9905da---4

June 21, 2022, 4:03 p.m. | Kevin Berlemont, PhD

Towards AI - Medium towardsai.net

Illustration of a diffusion process on a cat picture (adapted from [4]).

Eight years ago, emerged one of the most promising approaches to generative modeling: Generative Adversarial Networks (GAN) [1]. Since then, a commensurate amount of progress has been made in the technics and results obtained. These models went from generating blurry faces to high-definition realistic pictures having different constraints.

Samples generated from the model (amazon-research/gan-control: This package provides a pythorch implementation of “GAN-Control: Explicitly Controllable GANs”, …

data science deep learning gan gans machine learning neural networks

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