Akash Bangera

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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]