Generative Adversarial Network (GAN)#
(à venir)
Lectures
Generative Adversarial Networks : c’est le premier article paru sur le sujet
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
How Generative Adversarial Networks and its variants Work: An Overview of GAN
Synthesizing Programs for Images using Reinforced Adversarial Learning
Exemples de code
generative-models : programme sur une grande variété de GAN (Vanilla, Conditional, f-GAN, …) avec tensorflow et pytorch
Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch)