This paper proposes a method for cloud removal from visible light RGB satellite images by
extending the conditional Generative Adversarial Networks (cGANs) from RGB images to …

We introduce EnhanceGAN, an adversarial learning based model that performs automatic
image enhancement. Traditional image enhancement frameworks typically involve training …

We introduce a new technique that automatically generates diverse, visually compelling
stylizations for a photograph in an unsupervised manner. We achieve this by learning style …

In this meta paper we discuss image-based artistic rendering (IB-AR) based on neural style
transfer (NST) and argue, while NST may represent a paradigm shift for IB-AR, that it also …

Assigning textures and materials within 3D scenes is a tedious and labor-intensive task. In
this paper, we present Magic Decorator, a system that automatically generates material …

High-quality image generation is an important topic in digital visualization. As a sub-topic of
the research, color transfer is to produce a high-quality image with ideal color scheme …