Fetching the paper…
Reading the bibliography…
The goal of scene text image super-resolution is to reconstruct high-resolution text-line images from unrecognizable low-resolution inputs.
Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Wang, X.; Xie, L.; Dong, C.; and Shan, Y. 2021 · 1914
Earlier work this paper cites.
Learning a deep convolutional network for image super-resolution
Dong, C.; Loy, C. C.; He, K.; and Tang, X. 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.
Deep unsupervised learning using nonequilibrium thermodynamics
Sohl-Dickstein, J.; Weiss, E.; Maheswaranathan, N.; and Ganguli, S. 2015 · 2015
Earlier work this paper cites.
An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition
Shi, B.; Bai, X.; and Yao, C. 2016 · 2016
Earlier work this paper cites.
Improved training of wasserstein gans
Gulrajani, I.; Ahmed, F.; Arjovsky, M.; Dumoulin, V.; and Courville, A. C. 2017 · 2017
Earlier work this paper cites.
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
Earlier work this paper cites.
Decoupled weight decay regularization
Loshchilov, I.; and Hutter, F. 2017 · 2017
Earlier work this paper cites.
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
Earlier work this paper cites.
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Zhang, R.; Isola, P.; Efros, A. A.; Shechtman, E.; and Wang, O. 2018 · 2018
Earlier work this paper cites.
Moran: A multi-object rectified attention network for scene text recognition
Luo, C.; Jin, L.; and Sun, Z. 2019 · 2019
Earlier work this paper cites.
Classification accuracy score for conditional generative models
Ravuri, S.; and Vinyals, O. 2019 · 2019
Earlier work this paper cites.
Natural and realistic single image super-resolution with explicit natural manifold discrimination
Soh, J. W.; Park, G. Y.; Jo, J.; and Cho, N. I. 2019 · 2019
Cited alongside, same era.
Shape robust text detection with progressive scale expansion network
Wang, W.; Xie, E.; Li, X.; Hou, W.; Lu, T.; Yu, G.; and Shao, S. 2019 · 2019
Cited alongside, same era.
Scene text image super-resolution in the wild
Wang, W.; Xie, E.; Liu, X.; Wang, W.; Liang, D.; Shen, C.; and Bai, X. 2020 · 2020
Cited alongside, same era.
Scene text telescope: Text-focused scene image super-resolution
Chen, J.; Li, B.; and Xue, X. 2021 · 2021
Cited alongside, same era.
Swinir: Image restoration using swin transformer
Liang, J.; Cao, J.; Sun, G.; Zhang, K.; Van Gool, L.; and Timofte, R. 2021 · 2021
Cited alongside, same era.
Scene text detection and recognition: The deep learning era
Long, S.; He, X.; and Yao, C. 2021 · 2021
Image super-resolution via iterative refinement
Saharia, C.; Ho, J.; Chan, W.; Salimans, T.; Fleet, D. J.; and Norouzi, M. 2022 · 2022
Later among the works it cites.
Deblurring via stochastic refinement
Whang, J.; Delbracio, M.; Talebi, H.; Saharia, C.; Dimakis, A. G.; and Milanfar, P. 2022 · 2022
Later among the works it cites.
Maniqa: Multi-dimension attention network for no-reference image quality assessment
Yang, S.; Wu, T.; Shi, S.; Lao, S.; Gong, Y.; Cao, M.; Wang, J.; and Yang, Y. 2022 · 2022
Later among the works it cites.
C3-stisr: Scene text image super-resolution with triple clues
Zhao, M.; Wang, M.; Bai, F.; Li, B.; Wang, J.; and Zhou, S. 2022 · 2022
Later among the works it cites.
Activating more pixels in image super-resolution transformer
Chen, X.; Wang, X.; Zhou, J.; Qiao, Y.; and Dong, C. 2023 · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Scene text image super-resolution via parallelly contextual attention network
Zhao, C.; Feng, S.; Zhao, B. N.; Ding, Z.; Wu, J.; Shen, F.; and Shen, H. T. 2021 · 2021
Cited alongside, same era.
Srdiff: Single image super-resolution with diffusion probabilistic models
Li, H.; Yang, Y.; Chang, M.; Chen, S.; Feng, H.; Xu, Z.; Li, Q.; and Chen, Y. 2022 · 2022
Cited alongside, same era.
Structure-aware Meta-fusion for Image Super-resolution
Ma, H.; Gong, B.; and Yu, Y. 2022 · 2022
Cited alongside, same era.
A text attention network for spatial deformation robust scene text image super-resolution
Ma, J.; Liang, Z.; and Zhang, L. 2022 · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Rombach, R.; Blattmann, A.; Lorenz, D.; Esser, P.; and Ommer, B. 2022 · 2022
Cited alongside, same era.
Improving Scene Text Image Super-Resolution via Dual Prior Modulation Network
Zhu, S.; Zhao, Z.; Fang, P.; and Xue, H. 2023a
Cited in the paper.
Huang, C.; Peng, X.; Liu, D.; and Lu, Y. 2023 · 2023
Closest in time.
Text prior guided scene text image super-resolution
Ma, J.; Guo, S.; and Zhang, L. 2023 · 2023
Closest in time.
DocDiff: Document Enhancement via Residual Diffusion Models
Yang, Z.; Liu, B.; Xiong, Y.; Yi, L.; Wu, G.; Tang, X.; Liu, Z.; Zhou, J.; and Zhang, X. 2023 · 2023
Closest in time.
GDB: Gated convolutions-based Document Binarization
Yang, Z.; Xiong, Y.; and Wu, G. 2023 · 2023
Closest in time.
Scene Text Image Super-Resolution via Semantic Distillation and Text Perceptual Loss
Zhao, C.; Shu, R.; Feng, S.; Zhu, L.; and Wang, X. 2024 · 2024
Closest in time.
Aster: An attentional scene text recognizer with flexible rectification
Shi, B.; Yang, M.; Wang, X.; Lyu, P.; Yao, C.; and Bai, X. 2018 · 2048
Closest in time.