Steve Bako
Most Recent Affiliation(s):
- University of California
Learning Category: Presentation(s):
![Deep Appearance Prefiltering](https://history.siggraph.org/wp-content/uploads/2024/02/2023_Technical-Paper_Bako_Deep-Appearance-Prefiltering-150x150.jpg)
Type: [Technical Papers]
Deep Appearance Prefiltering Presenter(s): [Bako] [Sen] [Kaplanyan]
[SIGGRAPH 2023]
![Neural complex luminaires: representation and rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2021-Technical-Papers-Zhu_Neural-Complex-Luminaires-Representation-and-Rendering-150x150.jpg)
Type: [Technical Papers]
Neural complex luminaires: representation and rendering Presenter(s): [Zhu] [Bai] [Xu] [Bako] [Velázquez-Armendáriz] [Wang] [Sen] [Hasan] [Yan]
[SIGGRAPH 2021]
![Kernel-predicting convolutional networks for denoising Monte Carlo renderings](https://history.siggraph.org/wp-content/uploads/2023/02/2017-Technical-Papers-Bako_Kernel-Predicting-Convolutional-Networks-for-Denoising-Monte-Carlo-Renderings-150x150.jpg)
Type: [Technical Papers]
Kernel-predicting convolutional networks for denoising Monte Carlo renderings Presenter(s): [Bako] [Vogels] [Mcwilliams] [Meyer] [Novák] [Harvill] [Sen] [DeRose] [Rousselle]
[SIGGRAPH 2017]
![A machine learning approach for filtering Monte Carlo noise](https://history.siggraph.org/wp-content/uploads/2022/07/2015-SIGGRAPH-Image-Not-Available-150x150.jpg)
Type: [Technical Papers]
A machine learning approach for filtering Monte Carlo noise Presenter(s): [Kalantari] [Bako] [Sen]
[SIGGRAPH 2015]
Role(s):
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