Date: | June 15, 2017 |
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Location: | DC 1331 |
Time: | 1:30 |
Chair: | Omar Zarifi |
Date: | June 22, 2017 | June 29, 2017 | July 6, 2017 | July 13, 2017 |
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Location: | DC 1331 1:30 | DC 1331 1:30 | DC 1331 1:30 | DC 1331 1:30 |
Chair: | Dan Vogel |
Yipeng Wang |
Christopher Batty |
JC Change |
Technical Presentation: | Yipeng Wang |
Dan Vogel |
Omar Zarifi |
Christopher Batty |
Andrew Tinits |
Title : Deep Learning for Image Space De-noising
Abstract: Monte Carlo rendering produces unwanted noise at low sample rates. Several techniques exist to remove this noise from the image after rendering is complete. I will present some results on using deep learning to remove this noise. |
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Also see other Math and CS postings.