Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Subject "Computer Graphics"
Now showing items 1-3 of 3
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5D Covariance Tracing for Efficient Defocus and Motion Blur
(2012-11-16)The rendering of effects such as motion blur and depth-of-field requires costly 5D integrals. We dramatically accelerate their computation through adaptive sampling and reconstruction based on the prediction of the anisotropy ...
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Decoupled Sampling for Real-Time Graphics Pipelines
(2010-03-29)We propose decoupled sampling, an approach that decouples shading from visibility sampling in order to enable motion blur and depth-of-field at reduced cost. More generally, it enables extensions of modern real-time graphics ...
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Simulation of Human Motion Data using Short-Horizon Model-Predictive Control
(2008-01-15)Many data-driven animation techniques are capable of producing high quality motions of human characters. Few techniques, however, are capable of generating motions that are consistent with physically simulated environments. ...