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GANs: This AI Algorithm Works Like A Game – How do Generative Adversarial Networks Work?

One of the most interesting machine learning algorithms are Generative Adversarial Networks or GANs for short. They have been widely used in generating realistic images and videos and have applications in domains, such as art, fashion, and entertainment. They consist of two neural networks: a generator and a discriminator, engaged in a competitive game.

Video footage from: Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold, by Pan, Xingang and Tewari, Ayush, and Leimkühler, Thomas and Liu, Lingjie and Meka, Abhimitra and Theobalt, Christian (ACM SIGGRAPH 2023 Conference Proceedings):
https://vcai.mpi-inf.mpg.de/projects/DragGAN/

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