WaveFace: authentic face restoration with efficient frequency recovery

Miao, Y., Deng, J. and Han, J. (2024) WaveFace: authentic face restoration with efficient frequency recovery. In: Proceedings of 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 16-22 Jun 2024, Seattle WA, USA. Institute of Electrical and Electronics Engineers (IEEE) , pp. 6583-6592. ISBN 9798350353013

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Miao, Y.
  • Deng, J.
  • Han, J.
Copyright, Publisher and Additional Information:

© 2024 The Authors. Except as otherwise noted, this author-accepted version of a paper published in Proceedings of 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Training; Computer vision; Wavelet domain; Frequency-domain analysis; Face recognition; Noise reduction; Benchmark testing
Dates:
  • Published: 16 September 2024
  • Published (online): 16 September 2024
  • Accepted: 26 February 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 12 Apr 2024 13:51
Last Modified: 18 Sep 2024 15:40
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/CVPR52733.2024.00629
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Open Archives Initiative ID (OAI ID):

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