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 …

We present an automatic, real-time video and image abstraction framework that abstracts
imagery by modifying the contrast of visually important features, namely luminance and color …

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 …

This paper presents a non-photorealistic rendering technique that automatically generates a
line drawing from a photograph. We aim at extracting a set of coherent, smooth, and stylistic …

We present a non-photorealistic rendering technique that automatically delivers a stylized
abstraction of a photograph. Our approach is based on shape/color filtering guided by a …

This paper presents an approach to unsupervised segmentation of moving and static objects
occurring in a video. Objects are, in general, spatially cohesive and characterized by locally …

We present a non‐photorealistic rendering technique to transform color images and videos
into painterly abstractions. It is based on a generalization of the Kuwahara filter that is …

In this paper, we present a method for creating watercolor-like animation, starting from video
as input. The method involves two main steps: applying textures that simulate a watercolor …

We present TouchCut; a robust and efficient algorithm for segmenting image and video
sequences with minimal user interaction. Our algorithm requires only a single finger touch to …

We present Ardeco, a new algorithm for image abstraction and conversion from bitmap
images into vector graphics. Given a bitmap image, our algorithm automatically computes …