Results 211 to 220 of about 81,148 (262)
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Style subspaces for character animation
Computer Animation and Virtual Worlds, 2008AbstractIn this paper, we present a novel method for editing stylistic human motions. We represent styles as differences between stylistic and introduced neutral motions, including timing differences and spatial differences. Timing differences are defined as time alignment curves, while spatial differences are found by a machine learning technique ...
Gengdai Liu, Zhigeng Pan, ZuoYan Lin
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Styling and animating human hair
Systems and Computers in Japan, 2002AbstractSynthesizing facial images by computer graphics (CG) has attracted attention in connection with the current trends toward synthesizing virtual faces and realizing communication systems in cyberspace. In this paper, a method for representing human hair, which is known to be difficult to synthesize in computer graphics, is presented.
Keisuke Kishi, Shigeo Morishima
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Anime Style Transfer With Spatially-Adaptive Normalization
2021 IEEE International Conference on Multimedia and Expo (ICME), 2021Image style transfer has always been a popular topic in the field of computer vision. Many researchers have achieved transfer image texture characteristics, such as converting real photos to painting styles. Different from these style transfer tasks, our target is to colorize the anime line art according to the color scheme of the given reference image.
Junjian Lian, Jinrong Cui
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Animating with style: defining expressive semantics of motion
The Visual Computer, 2015Actions performed by a virtual character can be controlled with verbal commands such as `walk five steps forward'. Similar control of the motion style, meaning how the actions are performed, is complicated by the ambiguity of describing individual motions with phrases such as `aggressive walking'.
Klaus Förger, Tapio Takala
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Style Conversion of Cartoon Animation
2006This paper describes a computational approach to style conversion of cartoon animation. Our system works in two stages: the internal color shading phase, in which characters painted by the conventional method are segmented into their constituent regions and edges first, textures painted using different media are then added to the identified regions ...
Tianzhou Chen +2 more
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Deep Learning for Anime Style Transfer
Proceedings of the 2019 3rd International Conference on Advances in Image Processing, 2019Some artificial systems based on a deep neural network create artistic images of high perceptual quality. However, it is usually suitable for use in abstract styles. The performances of existing style transfer algorithms on anime style are not very satisfactory, because it is either not sufficiently stylized or distorted severely in comic characters ...
Der-Lor Way +2 more
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Interpolation based Anime Face Style Transfer
2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 2020This paper presents a new post-processing method for transferring human face to anime style with geometry factors. This is a branch of image-to-image problem, which is attracting the attention of researchers recently. Existing methods just deal with either texture transfer or geometry transfer.
Sy-Tuyen Ho +2 more
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Cartoon Animation Style Rendering of Water
2009We present a cartoon animation style rendering method for water animation. In an effort to capture and represent crucial features of water observed in traditional cartoon animation, we propose a Cartoon Water Shader. The proposed rendering method is a modified Phong illumination model augmented by the optical properties that ray tracing provides.
You, M. +3 more
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Coping styles in animals: current status in behavior and stress-physiology
Neuroscience & Biobehavioral Reviews, 1999This paper summarizes the current views on coping styles as a useful concept in understanding individual adaptive capacity and vulnerability to stress-related disease. Studies in feral populations indicate the existence of a proactive and a reactive coping style. These coping styles seem to play a role in the population ecology of the species.
Koolhaas, J.M. +8 more
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