Beyond Stippling - Methods for Distributing Objects on the Plane
Stefan Hiller, Heino Hellwig, Oliver Deussen.
Computer Graphics Forum, Vol. 22, No. 3, September,
2003. [BibTeX]
Cartoon Blur: Non-Photorealistic Motion Blur
Yuya Kawagishi, Kazuhide Hatsuyama, Kunio Kondo.
Computer Graphics International, pp. 276, Tokyo, Japan, July 09 - 11,
2003. [BibTeX]
Cartoon-style Rendering of Motion from Video
John P. Collomosse, D. Rowntree, Peter M. Hall.
Intl. Conference of Video, Vision and Graphics (VVG), pp. 117--124, July,
2003. [BibTeX]
Coherent stylized silhouettes
Robert D. Kalnins, Philip L. Davidson, Lee Markosian, Adam Finkelstein.
ACM Transactions on Graphics, Vol. 22, No. 3, pp. 856--861, July,
2003. [BibTeX]
Computer generated Celtic design
Matthew Kaplan, Elaine Cohen.
13th Eurographics workshop on Rendering, Non-photorealistic rendering, pp. 9--19,
2003. [BibTeX]
Computer-Assisted Auto Coloring By Region Matching
Jie Qiu, Hock Soon Seah, Feng Tian, Quan Chen, Konstantin Melikhov.
11th Pacific Conference on Computer Graphics and Applications (PG'03), pp. 175--184, October,
2003. [BibTeX]
Computer-Assisted Cel Animation: Post-processing After Inbetweening
Ji Lu, Hock Soon Seah, Feng Tian.
GRAPHITE '03: Proceedings of the 1st international conference on Computer graphics and interactive techniques in Australasia and South East Asia, pp. 13--20, New York, NY, USA, ACM Press,
2003. [BibTeX]
CoolPaint: Direct Interaction Painting
Dustin Lang, Leih Findlater, Michael Shaver.
Proceedings of the 16th Annual ACM Symposium on User Interface Software and Technology (UIST), Vancouver, Canada,
2003. [BibTeX]
Creating Various Styles of Animations Using Example-Based Filtering
Author(s): Ryota Hashimoto, Henry Johan, Tomoyuki Nishita.
Proceedings: Computer Graphics International 2003 (CGI'03), pp. 312--317,
2003.
[BibTeX] [DOI] 
Abstract:
A number of Non-Photorealistic Rendering methods for producing artistic style images have been developed. Recently, a method called "Image Analogies" was proposed. This method is based on the idea of example-based filtering that uses a pair of images (an original image and a filtered image) as training data and creates an image which has a style that resembles the filtered image of the training data. This method has great flexibility since the users can create various styles of images by simply changing the training data. In this paper, we extend "Image Analogies" to create various styles of animations. The coherence between frames is considered by computing the pixel flows between the frames. From experimental results, the proposed method can create nice animation sequences.
Cubist Style Rendering from Photographs
John P. Collomosse, Peter M. Hall.
IEEE Transactions on Visualization and Computer Graphics, Vol. 9, No. 4, pp. 443--453, October,
2003. [BibTeX]