The seminal work of Gatys et al. demonstrated the power of Convolutional Neural Networks
(CNNs) in creating artistic imagery by separating and recombining image content and style …

This paper surveys the field of nonphotorealistic rendering (NPR), focusing on techniques
for transforming 2D input (images and video) into artistically stylized renderings. We first …

As artificial intelligence (AI) technology increasingly becomes a feature of everyday life, it is
important to understand how creative acts, regarded as uniquely human, can be valued if …

This paper presents the results of a study in which artists made line drawings intended to
convey specific 3D shapes. The study was designed so that drawings could be registered …

This paper investigates the ability of sparse line drawings to depict 3D shape. We perform a
study in which people are shown an image of one of twelve 3D objects depicted with one of …

We present and evaluate a framework for constructing sketchy style information
visualizations that mimic data graphics drawn by hand. We provide an alternative renderer …

In this article we survey techniques for the digital simulation of hand-made stippling—one of
the core techniques developed within non-photorealistic/expressive rendering. Over the …

In this paper, we survey illustrative rendering techniques for 3D surface models. We first
discuss the field of illustrative visualization in general and provide a new definition for this …

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 …

The visual communication of biomedical processes draws from diverse techniques in both
visualization and biomedical illustration. However, matching these techniques to their …