Downsampling scattering parameters for rendering anisotropic media
© 2016 ACM. Volumetric micro-appearance models have provided remarkably high-quality renderings, but are highly data intensive and usually require tens of gigabytes in storage. When an object is viewed from a distance, the highest level of detail offered by these models is usually unnecessary, but t...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Association for Computing Machinery (ACM)
2021
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| Online Access: | https://hdl.handle.net/1721.1/134677 |
| _version_ | 1826213486347157504 |
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| author | Zhao, Shuang Wu, Lifan Durand, Frédo Ramamoorthi, Ravi |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Zhao, Shuang Wu, Lifan Durand, Frédo Ramamoorthi, Ravi |
| author_sort | Zhao, Shuang |
| collection | MIT |
| description | © 2016 ACM. Volumetric micro-appearance models have provided remarkably high-quality renderings, but are highly data intensive and usually require tens of gigabytes in storage. When an object is viewed from a distance, the highest level of detail offered by these models is usually unnecessary, but traditional linear downsampling weakens the object's intrinsic shadowing structures and can yield poor accuracy. We introduce a joint optimization of single-scattering albedos and phase functions to accurately downsample heterogeneous and anisotropic media. Our method is built upon scaled phase functions, a new representation combining abledos and (standard) phase functions. We also show that modularity can be exploited to greatly reduce the amortized optimization overhead by allowing multiple synthesized models to share one set of downsampled parameters. Our optimized parameters generalize well to novel lighting and viewing configurations, and the resulting data sets offer several orders of magnitude storage savings. |
| first_indexed | 2024-09-23T15:49:58Z |
| format | Article |
| id | mit-1721.1/134677 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:49:58Z |
| publishDate | 2021 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/1346772023-02-22T20:17:47Z Downsampling scattering parameters for rendering anisotropic media Zhao, Shuang Wu, Lifan Durand, Frédo Ramamoorthi, Ravi Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory © 2016 ACM. Volumetric micro-appearance models have provided remarkably high-quality renderings, but are highly data intensive and usually require tens of gigabytes in storage. When an object is viewed from a distance, the highest level of detail offered by these models is usually unnecessary, but traditional linear downsampling weakens the object's intrinsic shadowing structures and can yield poor accuracy. We introduce a joint optimization of single-scattering albedos and phase functions to accurately downsample heterogeneous and anisotropic media. Our method is built upon scaled phase functions, a new representation combining abledos and (standard) phase functions. We also show that modularity can be exploited to greatly reduce the amortized optimization overhead by allowing multiple synthesized models to share one set of downsampled parameters. Our optimized parameters generalize well to novel lighting and viewing configurations, and the resulting data sets offer several orders of magnitude storage savings. 2021-10-27T20:06:08Z 2021-10-27T20:06:08Z 2016 2019-05-29T12:50:59Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/134677 Zhao, Shuang, et al. "Downsampling Scattering Parameters for Rendering Anisotropic Media." Acm Transactions on Graphics 35 6 (2016): 11. en 10.1145/2980179.2980228 ACM Transactions on Graphics Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) other univ website |
| spellingShingle | Zhao, Shuang Wu, Lifan Durand, Frédo Ramamoorthi, Ravi Downsampling scattering parameters for rendering anisotropic media |
| title | Downsampling scattering parameters for rendering anisotropic media |
| title_full | Downsampling scattering parameters for rendering anisotropic media |
| title_fullStr | Downsampling scattering parameters for rendering anisotropic media |
| title_full_unstemmed | Downsampling scattering parameters for rendering anisotropic media |
| title_short | Downsampling scattering parameters for rendering anisotropic media |
| title_sort | downsampling scattering parameters for rendering anisotropic media |
| url | https://hdl.handle.net/1721.1/134677 |
| work_keys_str_mv | AT zhaoshuang downsamplingscatteringparametersforrenderinganisotropicmedia AT wulifan downsamplingscatteringparametersforrenderinganisotropicmedia AT durandfredo downsamplingscatteringparametersforrenderinganisotropicmedia AT ramamoorthiravi downsamplingscatteringparametersforrenderinganisotropicmedia |