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Alexander Sage

2 accepted papers

2019

Optimal Transport Maps For Distribution Preserving Operations on Latent Spaces of Generative Models

ICLR 2019poster

Generative models such as Variational Auto Encoders (VAEs) and Generative Adversarial Networks (GANs) are typically trained for a fixed prior distribution in the latent space, such as uniform or Gaussian. After a trained model is obtained, one can sample the Generator in various forms for exploratio…

Cited by 35SourcePDFScholar
2018

Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks

CVPR 2018poster

Designing a logo for a new brand is a lengthy and tedious back-and-forth process between a designer and a client. In this paper we explore to what extent machine learning can solve the creative task of the designer. For this, we build a dataset -- LLD -- of 600k+ logos crawled from the world wide we…