A Style-Based Generator Architecture for Generative Adversarial Networks

12 Dec 2018facebookresearch/pytorch_GAN_zoo

We propose an alternative generator architecture for generative adversarial networks, borrowing from style transfer literature.

IMAGE GENERATION

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

19 Nov 2015facebookresearch/pytorch_GAN_zoo

In recent years, supervised learning with convolutional networks (CNNs) has seen huge adoption in computer vision applications.

CONDITIONAL IMAGE GENERATION UNSUPERVISED REPRESENTATION LEARNING

Which Training Methods for GANs do actually Converge?

ICML 2018 facebookresearch/pytorch_GAN_zoo

In this paper, we show that the requirement of absolute continuity is necessary: we describe a simple yet prototypical counterexample showing that in the more realistic case of distributions that are not absolutely continuous, unregularized GAN training is not always convergent.

Conditional Image Synthesis With Auxiliary Classifier GANs

ICML 2017 facebookresearch/pytorch_GAN_zoo

We expand on previous work for image quality assessment to provide two new analyses for assessing the discriminability and diversity of samples from class-conditional image synthesis models.

CONDITIONAL IMAGE GENERATION IMAGE QUALITY ASSESSMENT

GDPP: Learning Diverse Generations Using Determinantal Point Process

30 Nov 2018facebookresearch/pytorch_GAN_zoo

Generative models have proven to be an outstanding tool for representing high-dimensional probability distributions and generating realistic looking images.

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