Search Results for author: Yeu-Chern Harn

Found 2 papers, 0 papers with code

Composition and decomposition of GANs

no code implementations23 Jan 2019 Yeu-Chern Harn, Zhenghao Chen, Vladimir Jojic

In this work, we propose a composition/decomposition framework for adversarially training generative models on composed data - data where each sample can be thought of as being constructed from a fixed number of components.

3C-GAN: AN CONDITION-CONTEXT-COMPOSITE GENERATIVE ADVERSARIAL NETWORKS FOR GENERATING IMAGES SEPARATELY

no code implementations ICLR 2018 Yeu-Chern Harn, Vladimir Jojic

We present 3C-GAN: a novel multiple generators structures, that contains one conditional generator that generates a semantic part of an image conditional on its input label, and one context generator generates the rest of an image.

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