Video Generation with Stochastic Temporal Convolutional Networks
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.
PLEASE LOG IN TO SEE DESCRIPTION:
This project is set to limited visibility by its publisher. To see the project description you need to log in at SiROP. Please follow these instructions:
- Click link "Open this project..." below.
- Log in to SiROP using your university login or create an account to see the details.
If your affiliation is not created automatically, please follow these instructions: http://bit.ly/sirop-affiliate
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 |