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Image Generation

  • Convolutional / Recurrent Networks
    • "Conditional Image Generation with PixelCNN Decoders"[Paper][Code]
    • "Learning to Generate Chairs with Convolutional Neural Networks", CVPR, 2015. [Paper]
    • "DRAW: A Recurrent Neural Network For Image Generation", ICML, 2015. [Paper]
  • Adversarial Networks
    • Generative Adversarial Networks, NIPS, 2014. [Paper]
    • Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks, NIPS, 2015. [Paper]
    • "A note on the evaluation of generative models", ICLR 2016. [Paper]
    • "Variationally Auto-Encoded Deep Gaussian Processes", ICLR 2016. [Paper]
    • "Generating Images from Captions with Attention", ICLR 2016, [Paper]
    • "Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks", ICLR 2016, [Paper]
    • "Censoring Representations with an Adversary", ICLR 2016, [Paper]
    • "Distributional Smoothing with Virtual Adversarial Training", ICLR 2016, [Paper]
    • "Generative Visual Manipulation on the Natural Image Manifold", ECCV 2016. [Paper] [Code] [Video]
  • Mixing Convolutional and Adversarial Networks
    • "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", ICLR 2016. [Paper]