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All-in-one image restoration tasks are becoming increasingly important, especially for ultra-high-definition (UHD) images.
Catastrophic forgetting in connectionist networks
French, R. M. 1999 · 1999
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A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
Martin, D.; Fowlkes, C.; Tal, D.; and Malik, J. 2001 · 2001
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Image quality assessment: from error visibility to structural similarity
Wang, Z.; Bovik, A. C.; Sheikh, H. R.; and Simoncelli, E. P. 2004 · 2004
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Scope of validity of PSNR in image/video quality assessment
Huynh-Thu, Q.; and Ghanbari, M. 2008 · 2008
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Single Image Haze Removal Using Dark Channel Prior
He, K.; Sun, J.; and Tang, X. 2011 · 2011
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Cai, B.; Xu, X.; Jia, K.; Qing, C.; and Tao, D. 2016 · 2016
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Rethinking the Inception Architecture for Computer Vision
Szegedy, C.; Vanhoucke, V.; Ioffe, S.; Shlens, J.; and Wojna, Z. 2016 · 2016
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Removing Rain from Single Images via a Deep Detail Network
Fu, X.; Huang, J.; Zeng, D.; Huang, Y.; Ding, X.; and Paisley, J. 2017b · 2017
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Deep multi-scale convolutional neural network for dynamic scene deblurring
Nah, S.; Hyun Kim, T.; and Mu Lee, K. 2017 · 2017
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Image Super-resolution Using very Deep Residual Channel Attention Networks
Zhang, Y.; Li, K.; Li, K.; Wang, L.; Zhong, B.; and Fu, Y. 2018 · 2018
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Depth-Attentional Features for Single-Image Rain Removal
Hu, X.; Fu, C.-W.; Zhu, L.; and Heng, P.-A. 2019 · 2019
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Continual lifelong learning with neural networks: A review
Parisi, G. I.; Kemker, R.; Part, J. L.; Kanan, C.; and Wermter, S. 2019 · 2019
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Multi-Scale Boosted Dehazing Network With Dense Feature Fusion
Dong, H.; Pan, J.; Xiang, L.; Hu, Z.; Zhang, X.; Wang, F.; and Yang, M.-H. 2020 · 2020
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Multi-Scale Progressive Fusion Network for Single Image Deraining
Jiang, K.; Wang, Z.; Yi, P.; Chen, C.; Huang, B.; Luo, Y.; Ma, J.; and Jiang, J. 2020 · 2020
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All in One Bad Weather Removal Using Architectural Search
Li, R.; Tan, R. T.; and Cheong, L.-F. 2020 · 2020
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Rethinking Coarse-to-Fine Approach in Single Image Deblurring
Cho, S.-J.; Ji, S.-W.; Hong, J.-P.; Jung, S.-W.; and Ko, S.-J. 2021 · 2021
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High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network
Stripformer: Strip Transformer for Fast Image Deblurring
Tsai, F.-J.; Peng, Y.-T.; Lin, Y.-Y.; Tsai, C.-C.; and Lin, C.-W. 2022 · 2022
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Uformer: A General U-Shaped Transformer for Image Restoration
Wang, Z.; Cun, X.; Bao, J.; Zhou, W.; Liu, J.; and Li, H. 2022 · 2022
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Restormer: Efficient Transformer for High-Resolution Image Restoration
Zamir, S. W.; Arora, A.; Khan, S.; Hayat, M.; Khan, F. S.; and Yang, M. 2022 · 2022
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Meditron-70b: Scaling medical pretraining for large language models
Chen, Z.; Cano, A. H.; Romanou, A.; Bonnet, A.; Matoba, K.; Salvi, F.; Pagliardini, M.; Fan, S.; Köpf, A.; Mohtashami, A.; et al. 2023 · 2023
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Selective Frequency Network for Image Restoration
Cui, Y.; Tao, Y.; Bing, Z.; Ren, W.; Gao, X.; Cao, X.; Huang, K.; and Knoll, A. 2023 · 2023
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Liang, J.; Zeng, H.; and Zhang, L. 2021 · 2021
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Ultra-high-definition Image HDR Reconstruction Via Collaborative Bilateral Learning
Zheng, Z.; Ren, W.; Cao, X.; Wang, T.; and Jia, X. 2021b · 2021
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Simple Baselines for Image Restoration
Chen, L.; Chu, X.; Zhang, X.; and Sun, J. 2022 · 2022
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Rain Streak Removal via Dual Graph Convolutional Network
Fu, X.; Qi, Q.; Zha, Z.-J.; Zhu, Y.; and Ding, X. 2022 · 2022
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All-in-one Image Restoration for Unknown Corruption
Li, B.; Liu, X.; Hu, P.; Wu, Z.; Lv, J.; and Peng, X. 2022a · 2022
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All-In-One Image Restoration for Unknown Corruption
Li, B.; Liu, X.; Hu, P.; Wu, Z.; Lv, J.; and Peng, X. 2022b · 2022
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Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal
Fu, X.; Huang, J.; Ding, X.; Liao, Y.; and Paisley, J. 2017a
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Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring
Kong, L.; Dong, J.; Ge, J.; Li, M.; and Pan, J. 2023 · 2023
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PromptIR: Prompting for All-in-One Image Restoration
Potlapalli, V.; Zamir, S. W.; Khan, S.; and Khan, F. 2023 · 2023
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Ultra-High-Definition Low-Light Image Enhancement: A benchmark and Transformer-Based Method
Wang, T.; Zhang, K.; Shen, T.; Luo, W.; Stenger, B.; and Lu, T. 2023 · 2023
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Adverse Weather Removal with Codebook Priors
Ye, T.; Chen, S.; Bai, J.; Shi, J.; Xue, C.; Jiang, J.; Yin, J.; Chen, E.; and Liu, Y. 2023 · 2023
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Saullm-7b: A pioneering large language model for law
Colombo, P.; Pires, T. P.; Boudiaf, M.; Culver, D.; Melo, R.; Corro, C.; Martins, A. F.; Esposito, F.; Raposo, V. L.; Morgado, S.; et al. 2024 · 2024
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Investigating Continual Pretraining in Large Language Models: Insights and Implications
Yıldız, Ç.; Ravichandran, N. K.; Punia, P.; Bethge, M.; and Ermis, B. 2024 · 2024
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