Search Results for author: Shawn Keshmiri

Found 4 papers, 0 papers with code

Stacked Wasserstein Autoencoder

no code implementations4 Oct 2019 Wenju Xu, Shawn Keshmiri, Guanghui Wang

At the first stage, the SWAE flexibly learns a representation distribution, i. e., the encoded prior; and at the second stage, the encoded representation distribution is approximated with a latent variable model under the regularization encouraging the latent distribution to match the explicit prior.

Representation Learning

Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation

no code implementations21 May 2019 Wenju Xu, Shawn Keshmiri, Guanghui Wang

Image-to-image translation, which translates input images to a different domain with a learned one-to-one mapping, has achieved impressive success in recent years.

Attribute Generative Adversarial Network +2

Adversarially Approximated Autoencoder for Image Generation and Manipulation

no code implementations14 Feb 2019 Wenju Xu, Shawn Keshmiri, Guanghui Wang

Regularized autoencoders learn the latent codes, a structure with the regularization under the distribution, which enables them the capability to infer the latent codes given observations and generate new samples given the codes.

Generative Adversarial Network Image Generation

Cannot find the paper you are looking for? You can Submit a new open access paper.