Toward Efficient Capture of Spatially Varying Material Properties

Author:

Baron Jessica1ORCID,Patterson Eric1ORCID,Dupuy Jonathan2ORCID

Affiliation:

1. Visual Computing, Countenance Lab, Clemson University, United States of America

2. Intel Corporation, France

Funder

USA National Science Foundation NSF

Publisher

ACM

Reference8 articles.

1. Microstructure-based appearance rendering for feathers

2. Valentin Deschaintre , Miika Aittala , Fredo Durand , George Drettakis , and Adrien Bousseau . 2019. Flexible SVBRDF Capture with a Multi-Image Deep Network. Computer Graphics Forum ( 2019 ). https://doi.org/10.1111/cgf.13765 10.1111/cgf.13765 Valentin Deschaintre, Miika Aittala, Fredo Durand, George Drettakis, and Adrien Bousseau. 2019. Flexible SVBRDF Capture with a Multi-Image Deep Network. Computer Graphics Forum (2019). https://doi.org/10.1111/cgf.13765

3. An Adaptive Parameterization for Efficient Material Acquisition and Rendering;Dupuy Jonathan;Transactions on Graphics (Proceedings of SIGGRAPH Asia),2018

4. Virtual Material Acquisition and Representation for Computer Graphics

5. Sampling the GGX Distribution of Visible Normals;Heitz Eric;Journal of Computer Graphics Techniques (JCGT),2018

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