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 …

Head portraits are popular in traditional painting. Automating portrait painting is challenging
as the human visual system is sensitive to the slightest irregularities in human faces …

A variety of phenomena can be characterized by repetitive small scale elements within a
large scale domain. Examples include a stack of fresh produce, a plate of spaghetti, or a …

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 …

This paper proposes a novel stroke-based rendering (SBR) method that translates images
into vivid oil paintings. Previous SBR techniques usually formulate the oil painting problem …

This article presents an algorithm for learning hatching styles from line drawings. An artist
draws a single hatching illustration of a 3D object. Her strokes are analyzed to extract the …

We propose an adaptive version of Lloyd's optimization method that distributes points based
on Voronoi diagrams. Our inspiration is the Linde-Buzo-Gray-Algorithm in vector …

We propose a fast and scalable algorithm to project a given density on a set of structured
measures defined over a compact 2D domain. The measures can be discrete or supported …