MotasemAlfarra/R-FID-Robustness-of-Quality-Measures-for-GANs: This is the official repo for the ECCV paper: "On the Robustness of Quality Measures for GANs

Type
Software
Authors
Alfarra, Motasem
Pérez, Juan C.
KAUST Department
King Abdullah University of Science and Tehchnology (KAUST), Thuwal, Saudi Arabia
Electrical and Computer Engineering Program
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Date
2022-07-14
Permanent link to this record
http://hdl.handle.net/10754/686385

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Abstract
This is the official repo for the ECCV paper: "On the Robustness of Quality Measures for GANs
Publisher
Github
Additional Links
https://github.com/MotasemAlfarra/R-FID-Robustness-of-Quality-Measures-for-GANs
Relations
Is Supplement To:
  • [Conference Paper]
    Alfarra, M., Pérez, J. C., Frühstück, A., Torr, P. H. S., Wonka, P., & Ghanem, B. (2022). On the Robustness of Quality Measures for GANs. Computer Vision – ECCV 2022, 18–33. https://doi.org/10.1007/978-3-031-19790-1_2. DOI: 10.1007/978-3-031-19790-1_2 Handle: 10754/677988
  • [Preprint]
    Title: On the Robustness of Quality Measures for GANs. Publication Date: 2022-01-31. Handle: 10754/677988 arXiv: 2201.13019
Collections
Electrical and Computer Engineering Program; Software; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division