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GANs for Real-Life Video Applications – talk by Oran Gafni from Facebook AI Research

December 15, 2019 @ 12:00 pm - 1:00 pm IST

Title: GANs for Real-Life Video Applications.
Abstract: This talk will focus on two research papers that demonstrate the use of generative adversarial networks for real-life video applications, through face and full-body synthesis. The first paper (“Live Face De-Identification in Video”), proposes a novel method for face de-identification, that enables fully automatic video modification at high frame rates, by maximally decorrelate the identity, while having the perception (pose, illumination and expression) fixed. The second paper (“Vid2Game: Controllable Characters Extracted from Real-World Videos”), extracts a controllable model from a given video of a person performing a certain activity. The model generates novel image sequences of that person, according to arbitrary user-defined control signals, typically marking the displacement of the moving body. The generated video can have an arbitrary background, and effectively capture both the dynamics and appearance of the person


December 15, 2019
12:00 pm - 1:00 pm IST
Event Category:


Gonda Building (901), Room 101.