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  Learning GAN-based Foveated Reconstruction to Recover Perceptually Important Image Features

Surace, L., Wernikowski, M., Tursun, C., Myszkowski, K., Mantiuk, R., & Didyk, P. (2023). Learning GAN-based Foveated Reconstruction to Recover Perceptually Important Image Features. ACM Transactions on Applied Perception. doi:10.1145/3583072.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-A00D-1 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-4DF0-C
Genre: Journal Article
Latex : Learning {GAN}-based Foveated Reconstruction to Recover Perceptually Important Image Features

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 Creators:
Surace, Luca1, Author
Wernikowski, Marek1, Author
Tursun, Cara1, Author
Myszkowski, Karol2, Author                 
Mantiuk, Radosław1, Author           
Didyk, Piotr1, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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Language(s): eng - English
 Dates: 2023
 Publication Status: Published online
 Pages: 24 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Surace23
DOI: 10.1145/3583072
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Title: ACM Transactions on Applied Perception
Source Genre: Journal
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Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 1544-3558
CoNE: https://pure.mpg.de/cone/journals/resource/111056648028200