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 …

This survey presents a comprehensive study on non-photorealistic rendering (NPR). NPR
technique renders 2D input image into abstracted and artistic stylized images. NPR mainly …

We describe a painting machine and associated algorithms. Our modified industrial robot
works with visual feedback and applies acrylic paint from a repository to a canvas until the …

We explore the concept of abstraction as it is used in visualization, with the ultimate goal of
understanding and formally defining it. Researchers so far have used the concept of …

Portraiture plays a substantial role in traditional painting, yet it has not been studied in depth
in painterly rendering research. The difficulty in rendering human portraits is due to our …

Artistic media play an important role in recognizing and classifying artworks in many artwork
classification works and public artwork databases. We employ deep CNN structure to …

Computers have been used to analyze and create music since they were first introduced in
the 1950s and 1960s. Beginning in the late 1990s, the rise of the Internet and large scale …

In this publication we will look at the different methods presented over the past few decades
which attempt to recreate digital paintings. While previous surveys concentrate on the …

In the last few years, artistic image-making with deep learning models has gained a
considerable amount of traction. A large number of these models operate directly in the pixel …

I argue that we need to increase our consideration of the interaction that is possible and/or
needed for the NPAR algorithms we develop. Depending on the application domain of a …