Search Results for author:
Found 6 papers, 4 papers with code
Exploring Unlabeled Faces for Novel Attribute Discovery
Despite remarkable success in unpaired image-to-image translation, existing systems still require a large amount of labeled images.
Coloring With Limited Data: Few-Shot Colorization via Memory-Augmented Networks
Despite recent advancements in deep learning-based automatic colorization, they are still limited when it comes to few-shot learning.
Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks
Despite recent advancements in deep learning-based automatic colorization, they are still limited when it comes to few-shot learning.
MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation
First, we use a content representation from the source domain conditioned on a style representation from the target domain.
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
Recently, generative adversarial networks (GANs) have shown promising performance in generating realistic images.
Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation
This paper proposes a novel approach to generate multiple color palettes that reflect the semantics of input text and then colorize a given grayscale image according to the generated color palette.
