WYSIWYG NPR: Drawing Strokes Directly on 3D Models

This work is closely related to Disney's Deep Canvas, about which Disney was very secretive at the time. The fact that "Deep Canvas" existed had been mentioned in the press, and there was apparently some paper they'd released about it, which disclosed relatively few details. Even having collaborated with someone at Disney a little earlier, I was unaware of the existence of the project.

Anyhow, perhaps it's best seen as work that took some ideas similar to those in Deep Canvas and provided details about how to implement them.

One of my favorite bits of this work is in the stroke synthesis. It wasn't complex, but it was (I think) the first place where there appeared a reasonable notion of describing a stroke in terms of neighborhoods suitable for MRF/Machine-Learning-like techniques to be applied. Since then, there's been some great work done, notably Pascal Barla's work on pattern synthesis (in which he generates areas of ornamental pattern from small examples).

@article{Kalnins:2002:WND,
author = "Robert D. Kalnins and Lee Markosian and Barbara J. Meier and Michael A. Kowalski and Joseph C. Lee and Philip L. Davidson and Matthew Webb and John F. Hughes and Adam Finkelstein",
title = "WYSIWYG NPR: Drawing Strokes Directly on 3D Models",
year = "2002",
month = jul,
journal = "ACM Transactions on Graphics",
volume = "21",
number = "3",
pages = "755--762",
}