A Multi-Scale Model for Coupling Strands with Shear-Dependent Liquid
A Multi-Scale Model for Coupling Strands with Shear-Dependent Liquid ACM Transactions on Graphics (SIGGRAPH Asia 2019) Yun (Raymond) Fei, Columbia University Christopher Batty, University of Waterloo Eitan Grinspun and Changxi Zheng, Columbia University Source Code and Data Assets GitHub A copy of this code repository has been archived in the GitHub Arctic Code Vault Plugin For Cinema 4D (by Kent
libWetHair: A Multi-Scale Model for Simulating Liquid-Hair Interactions
ACM Transactions on Graphics (SIGGRAPH North America 2017) Yun (Raymond) Fei and Henrique Teles Maia, Columbia University Christopher Batty, University of Waterloo Changxi Zheng and Eitan Grinspun, Columbia University Demo (Updated Jul-19-2017) Windows 10 x64 (3.0MB), Mac OS X (2.3MB), Ubuntu 14.04 (1.5MB) Source Code and Data Assets GitHub Paper Preprint: Original (17.1MB) | Reduced (2.4MB), Supp
Frequency Domain Normal Map Filtering
Abstract Filtering is critical for representing image-based detail, such as textures or normal maps, across a variety of scales. While mipmapping textures is commonplace, accurate normal map filtering remains a challenging problem because of nonlinearities in shading--we cannot simply average nearby surface normals. In this paper, we show analytically that normal map filtering can be formalized as
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