We present an approach to accelerating a wide variety of image processing operators. Our
approach uses a fully-convolutional network that is trained on input-output pairs that …

Purpose Embroidery as a textile embellishment technique plays an important role in
people's daily life. Esthetic embroidery artworks possess cultural values. With the …

This paper presents an approach for image cartoonization. By observing the cartoon
painting behavior and consulting artists, we propose to separately identify three white-box …

We present an approach to example-based stylization of 3D renderings that better preserves
the rich expressiveness of hand-created artwork. Unlike previous techniques, which are …

We present an integral framework for training sketch simplification networks that convert
challenging rough sketches into clean line drawings. Our approach augments a …

We introduce a new example-based approach to video stylization, with a focus on
preserving the visual quality of the style, user controllability and applicability to arbitrary …

Image smoothing represents a fundamental component of many disparate computer vision
and graphics applications. In this paper, we present a unified unsupervised (label-free) …

This paper proposes a simple yet effective face sketch synthesis method. Similar to existing
exemplar-based methods, a training dataset containing photo-sketch pairs is required, and a …

We use a data-driven approach to study both style and abstraction in sketching of a human
face. We gather and analyze data from a number of artists as they sketch a human face from …

Many different deep networks have been used to approximate, accelerate or improve
traditional image operators. Among these traditional operators, many contain parameters …