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Steve Bako
Steve Bako
Aurora Innovation
Adresse e-mail validée de ucsb.edu - Page d'accueil
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Kernel-predicting convolutional networks for denoising Monte Carlo renderings.
S Bako, T Vogels, B McWilliams, M Meyer, J Novák, A Harvill, P Sen, ...
ACM Trans. Graph. 36 (4), 97:1-97:14, 2017
2382017
A machine learning approach for filtering Monte Carlo noise.
NK Kalantari, S Bako, P Sen
ACM Trans. Graph. 34 (4), 122:1-122:12, 2015
1532015
Using machine learning to filter monte carlo noise from images
P Sen, NK Kalantari, S Bako
US Patent App. 15/144,613, 2016
592016
Machine learning to process Monte Carlo rendered images
P Sen, S Bako, NK Kalantari
US Patent 10,192,146, 2019
382019
Removing shadows from images of documents
S Bako, S Darabi, E Shechtman, J Wang, K Sunkavalli, P Sen
Asian Conference on Computer Vision, 173-183, 2016
342016
Offline deep importance sampling for Monte Carlo path tracing
S Bako, M Meyer, T DeRose, P Sen
Computer Graphics Forum 38 (7), 527-542, 2019
212019
De-noising images using machine learning
M Meyer, A DeRose, S Bako
US Patent 10,311,552, 2019
192019
Neural complex luminaires: representation and rendering
J Zhu, Y Bai, Z Xu, S Bako, E Velázquez-Armendáriz, L Wang, P Sen, ...
ACM Transactions on Graphics (TOG) 40 (4), 1-12, 2021
112021
Removing artifacts from document images
SC Bako, A Darabi, J Wang, E Shechtman, KK Sunkavalli
US Patent 9,852,498, 2017
42017
De-noising images using machine learning
M Meyer, A DeRose, S Bako
US Patent 10,846,828, 2020
22020
Machine learning to process Monte Carlo rendered images
P Sen, S Bako, NK Kalantari
US Patent 10,832,091, 2020
22020
Deep Appearance Prefiltering
S Bako, P Sen, A Kaplanyan
ACM Transactions on Graphics, 2022
2022
Deep Learning for Variance Reduction in Monte Carlo Rendering
S Bako
UC Santa Barbara, 2021
2021
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