Robust Real-World Image Super-Resolution against Adversarial Attacks
Author:
Affiliation:
1. Sun Yat-sen University, Guangzhou, China
2. The Chinese University of Hong Kong, Shenzhen, China
Funder
Key-Area Research and Development Program of Guangdong Province
National Natural Science Foundation of China
Guangzhou Science and technology project
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3474085.3475627
Reference68 articles.
1. Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
2. Image up-sampling using total-variation regularization with a new observation model
3. Marco Bevilacqua Aline Roumy Christine Guillemot and Marie Line Alberi-Morel. 2012. Low-complexity single-image super-resolution based on nonnegative neighbor embedding. (2012). Marco Bevilacqua Aline Roumy Christine Guillemot and Marie Line Alberi-Morel. 2012. Low-complexity single-image super-resolution based on nonnegative neighbor embedding. (2012).
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