Researchers at MIT and elsewhere have demonstrated a novel technique that vastly increases the speed of rendering 3D scenes from images by using a neural network to reconstruct the 360-degree light field of the underlying 3D scene.
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Antonio Torralba, faculty head of Artificial Intelligence and Decision Making within the Department of Electrical Engineering and Computer Science (EECS) and the Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science, has been selected as a 2021 Fellow by the Association for the Advancement of Artificial Intelligence (AAAI). AAAI Fellows are selected in recognition of their significant and extended contributions to the field (contributions which typically span a decade or more), including technical results, publications, patent awards, and contributions to group efforts.
Torralba received a degree in telecommunications engineering from Telecom BCN in Spain in 1994 and a PhD in signal, image, and speech processing from the Institut National Polytechnique de Grenoble, France in 2000. From 2000 to 2005, he received postdoc training at both the Department of Brain and Cognitive Sciences and the Computer Science and Artificial Intelligence Laboratory