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ECCV
2002
Springer
14 years 9 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
GMP
2008
IEEE
161views Solid Modeling» more  GMP 2008»
14 years 2 months ago
Slit Map: Conformal Parameterization for Multiply Connected Surfaces
Surface parameterization is a fundamental tool in geometric modeling and processing. Most existing methods deal with simply connected disks. This work introduces a novel method to ...
Xiaotian Yin, Junfei Dai, Shing-Tung Yau, Xianfeng...
CVPR
2007
IEEE
14 years 2 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
NPAR
2006
ACM
14 years 1 months ago
Real-time pencil rendering
ROJECTPROJECT ABSTRACTABSTRACTABSTRACT After achieving real-time photorealistic rendering, the computer graphics community is beginning to turn its attention to non-photorealistic ...
Hyunjun Lee, Sungtae Kwon, Seungyong Lee
RT
2004
Springer
14 years 1 months ago
All-Frequency Relighting of Non-Diffuse Objects using Separable BRDF Approximation
This paper presents a technique, based on pre-computed light transport and separable BRDF approximation, for interactive rendering of non-diffuse objects under all-frequency envir...
Rui Wang 0003, John Tran, David P. Luebke