4 papers
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously
Kyungjune Baek, Duhyeon Bang, Hyunjung Shim
We propose a novel framework for simultaneously generating and manipulating the face images with desired attributes. While the state-of-the-art attribute editing technique has achi…
Resembled Generative Adversarial Networks: Two Domains with Similar Attributes
Duhyeon Bang, Hyunjung Shim
We propose a novel algorithm, namely Resembled Generative Adversarial Networks (GAN), that generates two different domain data simultaneously where they resemble each other. Althou…
Discriminator Feature-based Inference by Recycling the Discriminator of GANs
Duhyeon Bang, Seoungyoon Kang, Hyunjung Shim
Generative adversarial networks (GANs)successfully generate high quality data by learning amapping from a latent vector to the data. Various studies assert that the latent space of…
MGGAN: Solving Mode Collapse using Manifold Guided Training
Duhyeon Bang, Hyunjung Shim
Mode collapse is a critical problem in training generative adversarial networks. To alleviate mode collapse, several recent studies introduce new objective functions, network archi…