This paper presents a survey of image synthesis and editing with Generative Adversarial
Networks (GANs). GANs consist of two deep networks, a generator and a discriminator …

We propose a new technique for visual attribute transfer across images that may have very
different appearance but have perceptually similar semantic structure. By visual attribute …

Recently, methods have been proposed that perform texture synthesis and style transfer by
using convolutional neural networks (eg Gatys et al.[2015, 2016]). These methods are …

This paper surveys the state-of-the-art of research in patch-based synthesis. Patch-based
methods synthesize output images by copying small regions from exemplar imagery. This …

We present a new data-driven video inpainting method for recovering missing regions of
video frames. A novel deep learning architecture is proposed which contains two …

We propose the onion-peel networks for video completion. Given a set of reference images
and a target image with holes, our network fills the hole by referring the contents in the …

We present an automatic video completion algorithm that synthesizes missing regions in
videos in a temporally coherent fashion. Our algorithm can handle dynamic scenes captured …

Style transfer is a process of migrating a style from a given image to the content of another,
synthesizing a new image, which is an artistic mixture of the two. Recent work on this …

To recover the corrupted pixels, traditional inpainting methods based on low-rank priors
generally need to solve a convex optimization problem by an iterative singular value …

We present an approach to example-based stylization of 3D renderings that better preserves
the rich expressiveness of hand-created artwork. Unlike previous techniques, which are …