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The SGGX microflake distribution
2015
ACM Transactions on Graphics
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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]
2021
arXiv
pre-print
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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
2018
Computer graphics forum (Print)
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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
2017
Computer graphics forum (Print)
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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
2022
ACM Transactions on Graphics
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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
2017
The Visual Computer
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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
2018
ACM Transactions on Graphics
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2018 pre-print arXiv:1805.02651v1 fatcat:ev2svdnwu5frbf3y4dl7xqm5t4
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
2022
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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