Supporting Hybrid Rendering Styles by Search Engines
Roland Jesse, Thomas Funke, Thomas Strothotte.
Department of Computer Science, University of Magdeburg, No. 6/2004, Germany,
2004. [BibTeX]
The G2-Buffer Framework
Mike Eissele, Daniel Weiskopf, Thomas Ertl.
Proceedings of SimVis, pp. 287--298,
2004. [BibTeX]
Tweaking stylized light and shade
Ken Anjyo, Shuhei Wemler.
ACM SIGGRAPH2004 Sketches,
2004. [BibTeX]
Unsupervised Colorization of Black-and-White Cartoons
Daniel Sýkora, Jan Buriánek, Jiří Žára.
3rd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'04), pp. 121--127, Annecy, France, June,
2004. [BibTeX]
User Interface Design and Realization of a DesignbySketches System
Amit Shesh, Baoquan Chen.
Submitted to UIST 2004,
2004. [BibTeX]
Video Tooning
Jue Wang, Ying-Qing Xu, Heung-Yeung Shum, Michael F. Cohen.
SIGGAPH2004,
2004. [BibTeX]
Virtual Drypoint by a Model-driven Strategy
Daisuke Tasaki, Shinji Mizuno, Minoru Okada.
Eurographics 2004,
2004. [BibTeX]
Virtual hairy brush for painterly rendering
Songhua Xu, Min Tang, Francis Lau, Yunhe Pan.
Graphical Models, Vol. 66, No. 5, pp. 263--302, September,
2004. [BibTeX]
Visual Interest and NPR: an Evaluation and Manifesto
Anthony Santella, Doug DeCarlo.
3rd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'04), pp. 71--78, ACM Press,
2004. [BibTeX]
Visualization Handbook
Author(s): R. Michael Kirby, Daniel F. Keefe, David H. Laidlaw.
In Book: Charles D. Hansen and Christopher R. Johnson, Part XI: Selected Topics and Applications, Chapter 45. Painting and visualization, pp. 873--891, Academic Press,
2004.
[BibTeX] 
Abstract:
Art, in particular painting, has had clear impacts on the style, techniques, and processes of scientific visualization. Artists strive to create visual forms and ideas that are evocative and convey meaning or tell a story. Over time, painters and other artists have developed sophisticated techniques, as well as a finely tuned aesthetic sense, to help accomplish their goals. As visualization researchers, we can learn from this body of work to improve our own visual representations. We can study artistic examples to learn what art works and what does not, we can study the visual design process to learn how to design better visualization artifacts, and we can study the pedagogy for training new designers and artists so we can better train visualization experts and better evaluate visualizations. The synergy between art and scientific visualization, whether manifested in collaborative teams, new painting-inspired visualization techniques, or new visualization methodologies, holds great potential for the advancement of scientific visualization and discovery.