Video Generation with Stochastic Temporal Convolutional Networks


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Organization: Advanced Interactive Technologies

Involved Host(s): Aksan Emre

Abstract: The focus of this project is on generating future video frames by using stochastic temporal convolutional networks.

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Temporal generative modelling sequence modelling video generation


Labels: Semester Project Bachelor Thesis Master Thesis CLS Student Project (MPG ETH CLS) ETH Organization's Labels (ETHZ)
Topics: Information, Computing and Communication Sciences
Applicant Organizations: ETH Zurich EPFL - Ecole Polytechnique Fédérale de Lausanne IBM Research Zurich Lab University of Zurich IDEA League