Computer Graphics

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 a reference photograph.

We present a technique for learning clothing models that enables the simultaneous animation of thousands of detailed garments in real-time.

In our work, we experiment with motion depiction as a first-class entity within the rendering process.

In this paper, we show that numerical integration of the extended beam is not only feasible, but provides increased speed, flexibility, numerical stability, and ease of implementation, while retaining the benefits of previous approaches.

We present a data-driven method for learning hair models that enables the creation and animation of many interactive virtual characters in real-time (for gaming, character pre-visualization and design).