Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Subject "Computer Graphics"

Now showing items 1-3 of 3

  • 5D Covariance Tracing for Efficient Defocus and Motion Blur 

    Fredo Durand (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 ...

  • Decoupled Sampling for Real-Time Graphics Pipelines 

    Unknown author (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 ...

  • Simulation of Human Motion Data using Short-Horizon Model-Predictive Control 

    Unknown author (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. ...