Erratum: Synthesis of facial caricature using eigenspaces
Guang Zhe Xu, Masahide Kaneko, Akira Kurematsu.
Electronics and Communications in Japan (Part III: Fundamental Electronic Science), Vol. 88, No. 2, pp. 64--76, February,
2005. [BibTeX]
Example-Based Color Stylization of Images
Youngha Chang, Suguru Saito, Keiji Uchikawa, Masayuki Nakajima.
ACM Transactions on Applied Perception (TAP), Vol. 2, No. 3, pp. 322--345, July,
2005. [BibTeX]
Example-based color transformation for image and video
Youngha Chang, Suguru Saito, Masayuki Nakajima.
3rd International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia (GRAPHITE'05), pp. 347--353, Dunedin, New Zealand,
2005. [BibTeX]
Example-based Volume Illustrations
Aidong Lu, David Ebert.
IEEE Visualization 2005,
2005. [BibTeX]
Expressive Distortion of Strokes and 3D Meshes
Petra Neumann, Tobias Isenberg, M. Sheelagh T. Carpendale, Thomas Strothotte.
Department of Computer Science, University of Calgary, No. Technical Report 2005-776-07, Canada, March,
2005. [BibTeX]
Expressive Line Selection by Example
Erik Lum, Kwan-Liu Ma.
13th Pacific Conference on Computer Graphics and Applications (PG'05),
2005. [BibTeX]
Fast Techniques for Mosaic Rendering
G. Gallo, G. Di Blasi, M. Petralia.
EuroGraphics Workshop on Computational Aesthetics in Graphics, Visualization and Imaging (CA'05), pp. 29--39, Girona, Spain, 18-20 May,
2005. [BibTeX]
Feature- and region-based auto painting for 2D animation
Jie Qiu, Hock Soon Seah, Feng Tian, Zhongke Wu, Quan Chen.
The Visual Computer, Vol. 21, No. 11, pp. 928--944, October,
2005. [BibTeX]
G-Strokes: A Concept for Simplifying Line Stylization
Tobias Isenberg, Angela Brennecke.
Department of Computer Science, University of Calgary, No. 2005-780-11, Canada, April,
2005. [BibTeX]
Genetic Paint: A Search for Salient Paintings
Author(s): John P. Collomosse, Peter M. Hall.
Proceedings: EvoMUSART (at EuroGP), Springer Lecture Notes in Computer Science, Vol. 3449, pp. 437--447, Lausanne, March,
2005.
[BibTeX] 
Abstract:
The contribution of this paper is a novel non-photorealistic rendering (NPR) algorithm for rendering real images in an impasto painterly style. We argue that figurative artworks are salience maps, and develop a novel painting algorithm that uses a genetic algorithm (GA) to search the space of possible paintings for a given image, so approaching an "optimal" artwork in which salient detail is conserved and non-salient detail is attenuated. We demonstrate the results of our technique on a wide range of images, illustrating both the improved control over level of detail due to our salience adaptive painting approach, and the benefits gained by subsequent relaxation of the painting using the GA.