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Deep learning-based super-resolution for digital comics., , , , and . SIGGRAPH ASIA Posters, page 19:1-19:2. ACM, (2018)RAM: Residual Attention Module for Single Image Super-Resolution., , , and . CoRR, (2018)Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks., , , , and . CoRR, (2021)Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks., , , , and . ICCV, page 303-311. IEEE, (2019)MAMNet: Multi-path adaptive modulation network for image super-resolution., , , and . Neurocomputing, (2020)Demystifying Randomly Initialized Networks for Evaluating Generative Models., , and . AAAI, page 8482-8490. AAAI Press, (2023)Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks., , , , and . ICPR, page 1287-1293. IEEE, (2022)Joint Global and Local Hierarchical Priors for Learned Image Compression., , and . CVPR, page 5982-5991. IEEE, (2022)Efficient Deep Learning-Based Lossy Image Compression Via Asymmetric Autoencoder and Pruning., , , and . ICASSP, page 2063-2067. IEEE, (2020)Instability of Successive Deep Image Compression., , , and . ACM Multimedia, page 247-255. ACM, (2020)