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Wolfgang Heidrich
Researcher at King Abdullah University of Science and Technology
Publications - 336
Citations - 18089
Wolfgang Heidrich is an academic researcher from King Abdullah University of Science and Technology. The author has contributed to research in topics: Rendering (computer graphics) & Pixel. The author has an hindex of 64, co-authored 312 publications receiving 15854 citations. Previous affiliations of Wolfgang Heidrich include University of Erlangen-Nuremberg & Nvidia.
Papers
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Journal ArticleDOI
Wrinkling Captured Garments Using Space‐Time Data‐Driven Deformation
Tiberiu Popa,Quan Zhou,Derek Bradley,Vladislav Kraevoy,Hongbo Fu,Hongbo Fu,Alla Sheffer,Wolfgang Heidrich +7 more
TL;DR: This work proposes a method for reintroducing fine folds into the captured models using data‐driven dynamic wrinkling, and demonstrates the effectiveness of the wrinkling method on a variety of garments that have been captured using several recent techniques.
Symmetric Photography: Exploiting Data-sparseness in Reflectance Fields
Gaurav Garg,Eino-Ville Talvala,Marc Levoy,Hendrik P. A. Lensch,Thomas Anenine-Möller,Wolfgang Heidrich +5 more
TL;DR: The use of hierarchical tensors as the underlying data structure to capture data-sparseness, specifically through local rank-1 factorizations of the transport matrix, enables fast acquisition of the approximated transport matrix and fast rendering of images from the captured matrix.
Proceedings ArticleDOI
Bidirectional importance sampling for direct illumination
TL;DR: The notion of bidirectional importance sampling is introduced, in which samples are drawn from the product distribution of both the surface reflectance and the light source energy, which achieves significant quality improvements over previous sampling strategies for the same compute time.
Journal ArticleDOI
ProxImaL: efficient image optimization using proximal algorithms
Felix Heide,Steven Diamond,Matthias Nießner,Jonathan Ragan-Kelley,Wolfgang Heidrich,Gordon Wetzstein +5 more
TL;DR: In applications to the image processing pipeline, deconvolution in the presence of Poisson-distributed shot noise, and burst denoising, it is shown that a few lines of ProxImaL code can generate highly efficient solvers that achieve state-of-the-art results.
Proceedings ArticleDOI
Time-resolved 3D Capture of Non-stationary Gas Flows
Bradley Atcheson,Ivo Ihrke,Wolfgang Heidrich,Art Tevs,Derek Bradley,Marcus Magnor,Hans-Peter Seidel +6 more
TL;DR: This paper presents the first time-resolved Schlieren tomography system for capturing full 3D, non-stationary gas flows on a dense volumetric grid, and derives a new solution for this reconstruction problem that lends itself to efficient algorithms that robustly work with relatively small numbers of cameras.