Inverse Volume Rendering with Material Dictionaries
We present a system for measuring the bulk scattering properties---the phase function, scattering coefficient, and absorption coefficient---of a homogeneous volumetric material sample. The proposed system: (1) can be used for both solid and liquid materials; and (2) does not restrict the shape of the phase function.
Ioannis Gkioulekas, Harvard University
Shuang Zhao, Cornell University
Kavita Bala, Cornell University
Todd Zickler, Harvard University
Anat Levin, The Weizmann Institute of Science
Inverse Bi-scale Material Design
We present a novel computational framework for inverse bi-scale material design. We demonstrate a variety of editing operations, including finding visually equivalent details that produce similar large-scale appearance, which can be useful in applications such as physical fabrication of materials.
Hongzhi Wu, Zhejiang University
Julie Dorsey, Yale University
Holly Rushmeier, Yale University
Joint Importance Sampling of Low-Order Volumetric Scattering
We present novel Monte Carlo techniques for joint importance sampling of light transport paths in participating media. Our techniques importance sample the product of geometry and scattering terms along sequences of path vertices. We integrate them into path tracing, bidirectional path tracing, and many-light methods, demonstrating significant variance reduction.
Iliyan Georgiev, Saarland University
Jaroslav Křivánek, Charles University in Prague
Toshiya Hachisuka, Aarhus University
Derek Nowrouzezahrai, University of Montreal
Wojciech Jarosz, Disney Research Zurich
Wave-Ray Coupling for Interactive Sound Propagation in Large Complex Scenes
We present a novel hybrid approach that couples geometric and numerical acoustic techniques for interactive sound propagation in complex environments.
Hengchin Yeh, University of North Carolina Chapel Hill
Ravish Mehra, University of North Carolina Chapel Hill
Zhimin Ren, University of North Carolina Chapel Hill
Lakulish Antani, University of North Carolina Chapel Hill
Dinesh Manocha, University of North Carolina Chapel Hill
Ming Lin, University of North Carolina Chapel Hill