image generation

A Deep Generative Deconvolutional Image Model AISTATS 2016 An Architecture for Deep, Hierarchical Generative Models NeurIPS 2016 Autoencoding beyond pixels using a learned similarity metric ICML 2016 Diagnostic Prediction Using Discomfort Drawings with IBTM MLHC 2016 Generating Images with Perceptual Similarity Metrics based on Deep Networks NeurIPS 2016 Generative Adversarial Text to Image Synthesis ICML 2016 Improved Techniques for Training GANs NeurIPS 2016 Pixel Recurrent Neural Networks ICML 2016 Professor Forcing: A New Algorithm for Training Recurrent Networks NeurIPS 2016 Texture Networks: Feed-forward Synthesis of Textures and Stylized Images ICML 2016 Variational Autoencoder for Deep Learning of Images, Labels and Captions NeurIPS 2016 Deep Convolutional Inverse Graphics Network NeurIPS 2015 Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks NeurIPS 2015 Deep Visual Analogy-Making NeurIPS 2015 DRAW: A Recurrent Neural Network For Image Generation ICML 2015 Learning to Generate Chairs With Convolutional Neural Networks CVPR 2015 Texture Synthesis Using Convolutional Neural Networks NeurIPS 2015 A Compositional Model for Low-Dimensional Image Set Representation CVPR 2014 Learning Generative Models with Visual Attention NeurIPS 2014 The Synthesizability of Texture Examples CVPR 2014 Structured Face Hallucination CVPR 2013 Generating more realistic images using gated MRF's NeurIPS 2010 Nonparametric Bayesian Texture Learning and Synthesis NeurIPS 2009 Statistical Modeling of Images with Fields of Gaussian Scale Mixtures NeurIPS 2006