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Reference-based super-resolution (RefSR) has made significant progress in producing realistic textures using an external reference (Ref) image.
Jump flooding in GPU with applications to Voronoi diagram and distance transform
Rong, G.; and Tan, T.-S. 2006 · 2006
Earlier work this paper cites.
PatchMatch: A randomized correspondence algorithm for structural image editing
Barnes, C.; Shechtman, E.; Finkelstein, A.; and Goldman, D. B. 2009 · 2009
Earlier work this paper cites.
Super-resolution from internet-scale scene matching
Sun, L.; and Hays, J. 2012 · 2012
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Simonyan, K.; and Zisserman, A. 2014 · 2014
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Visualizing and understanding convolutional networks
Zeiler, M. D.; and Fergus, R. 2014 · 2014
Earlier work this paper cites.
Image super-resolution using deep convolutional networks
Dong, C.; Loy, C. C.; He, K.; and Tang, X. 2015 · 2015
Earlier work this paper cites.
Distilling the knowledge in a neural network
Hinton, G.; Vinyals, O.; and Dean, J. 2015 · 2015
Earlier work this paper cites.
Single image super-resolution from transformed self-exemplars
Huang, J.-B.; Singh, A.; and Ahuja, N. 2015 · 2015
Earlier work this paper cites.
Perceptual losses for real-time style transfer and super-resolution
Johnson, J.; Alahi, A.; and Fei-Fei, L. 2016 · 2016
Earlier work this paper cites.
Accurate image super-resolution using very deep convolutional networks
Kim, J.; Kwon Lee, J.; and Mu Lee, K. 2016 · 2016
Earlier work this paper cites.
Deformable convolutional networks
Dai, J.; Qi, H.; Xiong, Y.; Li, Y.; Zhang, G.; Hu, H.; and Wei, Y. 2017 · 2017
Cited alongside, same era.
Improved training of wasserstein gans
Gulrajani, I.; Ahmed, F.; Arjovsky, M.; Dumoulin, V.; and Courville, A. 2017 · 2017
Cited alongside, same era.
Photo-realistic single image super-resolution using a generative adversarial network
Ledig, C.; Theis, L.; Huszár, F.; Caballero, J.; Cunningham, A.; Acosta, A.; Aitken, A.; Tejani, A.; Totz, J.; Wang, Z.; et al. 2017 · 2017
Cited alongside, same era.
Enhanced deep residual networks for single image super-resolution
Lim, B.; Son, S.; Kim, H.; Nah, S.; and Mu Lee, K. 2017 · 2017
Cited alongside, same era.
Sketch-based manga retrieval using manga109 dataset
Matsui, Y.; Ito, K.; Aramaki, Y.; Fujimoto, A.; Ogawa, T.; Yamasaki, T.; and Aizawa, K. 2017 · 2017
Cited alongside, same era.
Deeppruner: Learning efficient stereo matching via differentiable patchmatch
Duggal, S.; Wang, S.; Ma, W.-C.; Hu, R.; and Urtasun, R. 2019 · 2019
Later among the works it cites.
Towards content-independent multi-reference super-resolution: Adaptive pattern matching and feature aggregation
Cui, S. 2020 · 2020
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Momentum contrast for unsupervised visual representation learning
He, K.; Fan, H.; Wu, Y.; Xie, S.; and Girshick, R. 2020 · 2020
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Learning with privileged information for efficient image super-resolution
Lee, W.; Lee, J.; Kim, D.; and Ham, B. 2020 · 2020
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Robust reference-based super-resolution with similarity-aware deformable convolution
Shim, G.; Park, J.; and Kweon, I. S. 2020 · 2020
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Feature representation matters: End-to-end learning for reference-based image super-resolution
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Enhancenet: Single image super-resolution through automated texture synthesis
Sajjadi, M. S.; Scholkopf, B.; and Hirsch, M. 2017 · 2017
Cited alongside, same era.
Image super-resolution using knowledge distillation
Gao, Q.; Zhao, Y.; Li, G.; and Tong, T. 2018 · 2018
Cited alongside, same era.
Esrgan: Enhanced super-resolution generative adversarial networks
Wang, X.; Yu, K.; Wu, S.; Gu, J.; Liu, Y.; Dong, C.; Qiao, Y.; and Change Loy, C. 2018 · 2018
Cited alongside, same era.
Crossnet: An end-to-end reference-based super resolution network using cross-scale warping
Zheng, H.; Ji, M.; Wang, H.; Liu, Y.; and Fang, L. 2018 · 2018
Cited alongside, same era.
Second-order attention network for single image super-resolution
Dai, T.; Cai, J.; Zhang, Y.; Xia, S.-T.; and Zhang, L. 2019 · 2019
Cited alongside, same era.
Ranksrgan: Generative adversarial networks with ranker for image super-resolution
Zhang, W.; Liu, Y.; Dong, C.; and Qiao, Y. 2019a
Cited in the paper.
Image super-resolution using very deep residual channel attention networks
Zhang, Y.; Li, K.; Li, K.; Wang, L.; Zhong, B.; and Fu, Y. 2018a
Cited in the paper.
Xie, Y.; Xiao, J.; Sun, M.; Yao, C.; and Huang, K. 2020 · 2020
Later among the works it cites.
Learning Texture Transformer Network for Image Super-Resolution
Yang, F.; Yang, H.; Fu, J.; Lu, H.; and Guo, B. 2020 · 2020
Later among the works it cites.
Robust Reference-based Super-Resolution via C2-Matching
Jiang, Y.; Chan, K. C.; Wang, X.; Loy, C. C.; and Liu, Z. 2021 · 2021
Later among the works it cites.
MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution
Lu, L.; Li, W.; Tao, X.; Lu, J.; and Jia, J. 2021 · 2021
Later among the works it cites.
PatchmatchNet: Learned Multi-View Patchmatch Stereo
Wang, F.; Galliani, S.; Vogel, C.; Speciale, P.; and Pollefeys, M. 2021 · 2021
Later among the works it cites.