AMUSE

Date: March 27, 2019

Time: 6:00PM - 7:00PM

Location: BLOC 220

Speaker: Dr. Nima Kalantari, Department of Computer Science & Engineering, TAMU

Title: Deep Learning for Sampling and Reconstruction in Computer Graphics

Abstract: The field of computer graphics, specifically computational photography and rendering, has seen tremendous progress over the past decades and, as a result, is an essential part of the film, gaming, and camera industries. In a variety of applications within these sub-fields, the goal is to reconstruct a high dimensional function from a sparse set of input samples. In this talk, I introduce several exciting applications such as light field super-resolution, high dynamic range imaging, and Monte Carlo denoising. I will then discuss our recent effort to address these applications through deep learning.