/NeuralNetworksDeepLearning-Fall2022-CA6

Computer Assignment #6 [GANs, DCGAN, AC-GAN, Wasserstein Loss (WGAN)] - Neural Networks & Deep Learning Course - University of Tehran - Dr. Kalhor

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Neural Networks & Deep Learning - Computer Assignment #6 - Fall 2022

University of Tehran

Generative Adversarial Networks

  • Q1: Deep Convolutional GAN (DCGAN)
  • Papers:
    • Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
    • One-sided Label Smoothing (Improved Techniques for Training GANs)
    • Add Noise (Towards Principled Methods for Training Generative Adversarial Networks)
  • Q2: AC-GAN, WGAN
  • Papers:
    • Conditional Image Synthesis With Auxiliary Classifier GANs
    • Wasserstein GAN (Arjovsky et al. 2017)