• Login
    View Item 
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 34 (2015)
    • 34-Issue 4
    • View Item
    •   Eurographics DL Home
    • Computer Graphics Forum
    • Volume 34 (2015)
    • 34-Issue 4
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Path-space Motion Estimation and Decomposition for Robust Animation Filtering

    Thumbnail
    View/Open
    v34i4pp131-142.pdf (11.13Mb)
    pathspace-supplemental.pdf (199.1Kb)
    pathspace-video.mp4 (128.2Mb)
    Date
    2015
    Author
    Zimmer, Henning
    Rousselle, Fabrice
    Jakob, Wenzel
    Wang, Oliver
    Adler, David
    Jarosz, Wojciech
    Sorkine-Hornung, Olga
    Sorkine-Hornung, Alexander
    Pay-Per-View via TIB Hannover:

    Try if this item/paper is available.

    Metadata
    Show full item record
    Abstract
    Renderings of animation sequences with physics-based Monte Carlo light transport simulations are exceedingly costly to generate frame-by-frame, yet much of this computation is highly redundant due to the strong coherence in space, time and among samples. A promising approach pursued in prior work entails subsampling the sequence in space, time, and number of samples, followed by image-based spatio-temporal upsampling and denoising. These methods can provide significant performance gains, though major issues remain: firstly, in a multiple scattering simulation, the final pixel color is the composite of many different light transport phenomena, and this conflicting information causes artifacts in image-based methods. Secondly, motion vectors are needed to establish correspondence between the pixels in different frames, but it is unclear how to obtain them for most kinds of light paths (e.g. an object seen through a curved glass panel). To reduce these ambiguities, we propose a general decomposition framework, where the final pixel color is separated into components corresponding to disjoint subsets of the space of light paths. Each component is accompanied by motion vectors and other auxiliary features such as reflectance and surface normals. The motion vectors of specular paths are computed using a temporal extension of manifold exploration and the remaining components use a specialized variant of optical flow. Our experiments show that this decomposition leads to significant improvements in three image-based applications: denoising, spatial upsampling, and temporal interpolation.
    BibTeX
    @article {10.1111:cgf.12685,
    journal = {Computer Graphics Forum},
    title = {{Path-space Motion Estimation and Decomposition for Robust Animation Filtering}},
    author = {Zimmer, Henning and Rousselle, Fabrice and Jakob, Wenzel and Wang, Oliver and Adler, David and Jarosz, Wojciech and Sorkine-Hornung, Olga and Sorkine-Hornung, Alexander},
    year = {2015},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    DOI = {10.1111/cgf.12685}
    }
    URI
    http://dx.doi.org/10.1111/cgf.12685
    Collections
    • 34-Issue 4
    • EGSR15: 26th Eurographics Symposium on Rendering

    Eurographics Association copyright © 2013 - 2022 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA
     

     

    Browse

    All of Eurographics DLCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    BibTeX | TOC

    Create BibTeX Create Table of Contents

    Eurographics Association copyright © 2013 - 2022 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA