Learning a Probabilistic Latent Space of Object Shapes via 3D Generative Adversarial Modeling Oct 14, 2018 Link to the paper Contribution This paper introduces a new framework called 3DGAN, which generates 3D objects from a probabilistic space using volumetric convolutions and GANs. Background Generative Adversarial Nets... [read more]
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Sep 2, 2018 Link to the paper Contribution This paper introduces a version of GAN called Deep Convolutional Generative Adversarial Networks (DCGAN), which are stable to train in most settings. This paper also... [read more]
Generative Adversarial Nets Aug 1, 2018 Link to the paper Contribution This paper introduces a new generative model that overcomes the difficulties faced by older models like Deep Belief Networks, Variational Autoencoders, etc. Background Multilayer Perceptron... [read more]