Depth-aware neural style transfer for videos

Ioannou, E. and Maddock, S. orcid.org/0000-0003-3179-0263 (2023) Depth-aware neural style transfer for videos. Computers, 12 (4). 69.

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2023 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords: neural style transfer; deep learning; depth estimation; temporal consistency
Dates:
  • Published: April 2023
  • Published (online): 27 March 2023
  • Accepted: 24 March 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
Engineering and Physical Sciences Research Council
2496728
Depositing User: Symplectic Sheffield
Date Deposited: 28 Mar 2023 10:09
Last Modified: 28 Mar 2023 10:09
Status: Published
Publisher: MDPI
Refereed: Yes
Identification Number: 10.3390/computers12040069
Open Archives Initiative ID (OAI ID):

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