Pros and cons of GAN evaluation measures

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GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

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Deep Learning Face Attributes in the Wild

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Improved Techniques for Training GANs

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Improved training of Wasserstein GANs

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The Laplacian pyramid as a compact image code

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Context Encoders: Feature Learning by Inpainting

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Testing Statistical Hypotheses

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Adversarial Discriminative Domain Adaptation

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Progressive Growing of GANs for Improved Quality, Stability, and Variation

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Conditional Image Generation with PixelCNN DecodersPreprint

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StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks

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Conditional Image Synthesis With Auxiliary Classifier GANsPreprint

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Generative Adversarial Text to Image Synthesis

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Natural Image Statistics and Neural Representation

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Deep Generative Image Models using a Laplacian Pyramid of Adversarial NetworksPreprint

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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial NetworksPreprint

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Wasserstein GAN

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Conditional Image Generation with PixelCNN DecodersPreprint

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Network Dissection: Quantifying Interpretability of Deep Visual Representations

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A note on the evaluation of generative modelsPreprint

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Semantic Image Inpainting with Deep Generative Models

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BEGAN: Boundary Equilibrium Generative Adversarial NetworksPreprint

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Annealed importance sampling

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Are GANs Created Equal? A Large-Scale StudyPreprint

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Toward Multimodal Image-to-Image TranslationPreprint

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Unrolled Generative Adversarial NetworksPreprint

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Adversarially Learned InferencePreprint

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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkPreprint

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The statistics of natural images

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Statistics of natural image categories

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Object Detectors Emerge in Deep Scene CNNsPreprint

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Assessing Generative Models via Precision and RecallPreprint

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Measuring visual clutter

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Visual Perception and the Statistical Properties of Natural Scenes

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Generative Moment Matching NetworksPreprint

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Demystifying MMD GANsPreprint

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Kernel Mean Embedding of Distributions: A Review and Beyond

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Mode Regularized Generative Adversarial NetworksPreprint

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Lossy Image Compression with Compressive AutoencodersPreprint

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VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational LearningPreprint

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Stacked Generative Adversarial Networks

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How Good Is My GAN?

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A Note on the Inception ScorePreprint

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Generative Multi-Adversarial NetworksPreprint

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SalGAN: Visual Saliency Prediction with Generative Adversarial NetworksPreprint

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DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data

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Deep Feature Interpolation for Image Content Changes

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LR-GAN: Layered Recursive Generative Adversarial Networks for Image GenerationPreprint

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Image De-raining Using a Conditional Generative Adversarial NetworkPreprint

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Generating images with recurrent adversarial networksPreprint

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Generating Adversarial Examples with Adversarial NetworksPreprint

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How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?Preprint

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Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every StepPreprint

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Generative Models and Model Criticism via Optimized Maximum Mean DiscrepancyPreprint

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Training generative neural networks via Maximum Mean Discrepancy optimizationPreprint

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On the Quantitative Analysis of Decoder-Based Generative ModelsPreprint

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PacGAN: The Power of Two Samples in Generative Adversarial Networks

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Semantically Decomposing the Latent Spaces of Generative Adversarial NetworksPreprint

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Precise Recovery of Latent Vectors from Generative Adversarial NetworksPreprint

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Generative Models of Visually Grounded Imagination

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Geometry Score: A Method For Comparing Generative Adversarial NetworksPreprint

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Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial NetworksPreprint

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On GANs and GMMsPreprint

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Sampling Generative Networks: Notes on a Few Effective Techniques

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Metrics for Deep Generative ModelsPreprint

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Revisiting Classifier Two-Sample TestsPreprint

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An Improved Evaluation Framework for Generative Adversarial NetworksPreprint

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A Test of Relative Similarity For Model Selection in Generative ModelsPreprint

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Ensembles of Generative Adversarial NetworksPreprint

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An information-theoretic analysis of deep latent-variable modelsPreprint

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Gang of GANs: Generative Adversarial Networks with Maximum Margin RankingPreprint

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Image Descriptors for Displays

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Skill Rating for Generative ModelsPreprint

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Statistics of Deep Generated ImagesPreprint

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A Classification-Based Study of Covariate Shift in GAN DistributionsPreprint

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Decoupled Learning for Conditional Adversarial NetworksPreprint

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Image Generation from Sketch Constraint Using Contextual GANPreprint

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Beyond Planar Symmetry: Modeling human perception of reflection and rotation symmetries in the wildPreprint

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A survey of unsupervised deep domain adaptation

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