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The SGGX microflake distribution

Eric Heitz, Jonathan Dupuy, Cyril Crassin, Carsten Dachsbacher
2015 ACM Transactions on Graphics  
Bottom-right: visualization of the voxel structure at the matching resolutions. We use the SGGX microflake distribution to represent volumetric anisotropic materials.  ...  Finally, we use the idea of sampling the distribution of visible normals to design a perfect importance sampling technique for our SGGX microflake phase functions.  ...  Acknowledgements The authors wish to thank Fabrice Neyret for his valuable advice on ellipsoidal distributions and for sharing his vision of multi-scale representations.  ... 
doi:10.1145/2766988 fatcat:floa73wnnnfazapxuh4723rwsu

SpongeCake: A Layered Microflake Surface Appearance Model [article]

Beibei Wang and Wenhua Jin and Miloš Hašan and Ling-Qi Yan
2021 arXiv   pre-print
Despite the absence of layer interfaces, we demonstrate that many common material effects can be achieved with layers of SGGX microflake and other volumes with appropriate parameters.  ...  We use a parameter mapping neural network to find the parameters of the newly added lobes to closely approximate the multiple scattering effect.  ...  The reduced phase function is also reciprocal in the usual sense: ( → ) =ˆ( → ). (6) SGGX microflakes While the above can work with any microflake distribution, in our results we use the SGGX microflake  ... 
arXiv:2110.07145v1 fatcat:klp3aeaicre5bia6l2uyl72txq

A new microflake model with microscopic self-shadowing for accurate volume downsampling

Guillaume Loubet, Fabrice Neyret
2018 Computer graphics forum (Print)  
We provide an anisotropic self-shadowing function and microflake distributions for which the scattering coefficients and the phase functions of our model have closed-form expressions.  ...  We introduce a new microflake model whose additional parameters characterize self-shadowing effects at a microscopic scale.  ...  [HDCD15] have introduced the SGGX distribution.  ... 
doi:10.1111/cgf.13346 fatcat:dvl4bjfc75ewhb2v5qbzkb3rwq

Hybrid mesh-volume LoDs for all-scale pre-filtering of complex 3D assets

Guillaume Loubet, Fabrice Neyret
2017 Computer graphics forum (Print)  
We simplify these surfaces with edge collapses and we provide a method for pre-filtering their normal distributions and albedos.  ...  To approximate microscopic details, we use a heterogeneous microflake participating medium and we introduce a new artifact-free voxelization algorithm that preserves local occlusion.  ...  We also thank Edson for his sailing vessel 3D model and Olivier Ffrench † for the mossy stone wall.  ... 
doi:10.1111/cgf.13138 fatcat:o5zliwjvi5frhflf72x7zs3zyu

SpongeCake: A Layered Microflake Surface Appearance Model

Beibei Wang, Wenhua Jin, Miloš Hašan, Ling-Qi Yan
2022 ACM Transactions on Graphics  
Despite the absence of layer interfaces, we demonstrate that many common material effects can be achieved with layers of SGGX microflake and other volumes with appropriate parameters.  ...  We use a parameter mapping neural network to find the parameters of the newly added lobes to closely approximate the multiple scattering effect.  ...  ACKNOWLEDGMENTS We thank the reviewers for the valuable comments. This work has been partially supported by the National Natural Science Foundation of China under grant No. 62172220.  ... 
doi:10.1145/3546940 fatcat:5he3owmnxjak5oea57odzq2z4i

Approximations for the distribution of microflake normals

Nelson Max, Tom Duff, Ben Mildenhall, Yajie Yan
2017 The Visual Computer  
In this paper, we discuss three different methods for approximating the distribution of normals of the microflakes, which is needed to compute extinction, inscattering of attenuated direct illumination  ...  Specifically, we consider A) k-means approximation with k weighted representatives, B) expansion in spherical harmonics, and C) the distribution of the normals of a specific ellipsoid.  ...  Nelson Max thanks the University of California, Davis for sabbatical salary.  ... 
doi:10.1007/s00371-017-1352-2 fatcat:zrpaakx5rvhmrjwagtp3v33s5i

A radiative transfer framework for spatially-correlated materials

Adrian Jarabo, Carlos Aliaga, Diego Gutierrez
2018 ACM Transactions on Graphics  
distributions of scatterers.  ...  Most previous works in graphics have ignored this, assuming uncorrelated media with a uniform, random local distribution of particles.  ...  Later, Heitz et al. [2015] further extended this model with the SGGX microflakes distribution.  ... 
doi:10.1145/3197517.3201282 fatcat:lvdysfn2cbay5ipa4rb3ljlktm

Foundations for 3D Machine Knitting

Vidya Narayanan
2022
I classify the space of shapes that can be constructed with industrial knitting machines. I present a new data-structure to represent 3D shapes as knitting programs.  ...  In this thesis, I lay out foundational tools for machine knitting that allow users to think about what they want to create in terms of 3D shapes instead of how the machine constructs by showing that programming  ...  functions (Zhao et al. [2016a] ); and rendering the data with the radiative transfer framework (Jakob et al. [2010] ), the SGGX microflake distribution (Zhao et al. [2016b] ), and data-driven approaches  ... 
doi:10.1184/r1/19658928 fatcat:fj3ovnrz4rbote4iwxwrcyntqa