Image Analogies
Aaron Hertzmann, Charles Jacobs, Nuria Oliver, Brian Curless, David H. Salesin.
SIGGRAPH '01: Proceedings of the 28th annual conference on Computer graphics and interactive techniques, pp. 327--340, New York, NY, USA, ACM,
2001. [BibTeX]
Image-Based Motion Blur for Stop Motion Animation
Gabriel J. Brostow, Irfan Essa.
SIGGRAPH 2001, pp. 561--566,
2001. [BibTeX]
Modeling Subdivision Control Meshes for Creating Cartoon Faces
Sajan Skaria, Ergun Akleman, Frederic I. Parke.
Proceedings of the International Conference on Shape Modeling and Applications (SMI'01), pp. 216--225, Genova, Italy, May,
2001. [BibTeX]
Non-Invasive, Interactive, Stylized Rendering
Alex Mohr, Michael Gleicher.
2001 ACM Symposium on Interactive 3D Graphics,
2001. [BibTeX]
Non-Photorealistic Rendering
Amy A. Gooch, Bruce Gooch.
AK Peters, Ltd., July 1,
2001. [BibTeX]
Non-Photorealistic Rendering using Watercolor Inspired Textures and Illumination
Erik Lum, Kwan-Liu Ma.
9th Pacific Conference on Computer Graphics and Applications (PG'01), October 16-18,
2001. [BibTeX]
Optimization of Paintbrush Rendering of Images by Dynamic MCMC Methods
Author(s): Tamás Szirányi, Zoltán Tóth.
Proceedings: Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'01), Vol. 2134, Lecture Notes in Computer Science, pp. 201--215, London, UK,
2001.
[BibTeX] 
Abstract:
We have developed a new stochastic image rendering method for the compression, description and segmentation of images. This paintbrush-like image transformation is based on a random searching to insert brush-strokes into a generated image at decreasing scale of brush-sizes, without predefined models or interaction. We introduced a sequential multiscale image decomposition method, based on simulated rectangular-shaped paintbrush strokes. The resulting images look like good-quality paintings with well-defined contours, at an acceptable distortion compared to the original image. The image can be described with the parameters of the consecutive paintbrush strokes, resulting in a parameter-series that can be used for compression. The painting process can be applied for image representation, segmentation and contour detection. Our original method is based on stochastic exhaustive searching which takes a long time of convergence. In this paper we propose a modified algorithm of speed up of about 2x where the faster convergence is supported by a dynamic Metropolis Hastings rule.
Paint By Relaxation
Aaron Hertzmann.
Computer Graphics International (CGI'01),
2001. [BibTeX]
Paint by Relaxation
Aaron Hertzmann.
NYU CS, No. 2000-801,
2001. [BibTeX]