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We present a learning-based framework, recurrent transformer network (RTN), to restore heavily degraded old films.
Image processing for restoration of old film sequences
Takahiro Saito, Takashi Komatsu, Tomohisa Hoshi, and Toshiaki Ohuchi · 1999
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A non-local algorithm for image denoising
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Digital image processing techniques for the detection and removal of cracks in digitized paintings
Ioannis Giakoumis, Nikos Nikolaidis, and Ioannis Pitas · 2005
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Image denoising via sparse and redundant representations over learned dictionaries
Michael Elad and Michal Aharon · 2006
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Efficient optimization of inpainting scheme and line scratch detection for old film restoration
Seong-Whan Kim and Ki-Hong Ko · 2006
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Yair Weiss and William T Freeman · 2007
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Total variation super resolution using a variational approach
S Derin Babacan, Rafael Molina, and Aggelos K Katsaggelos · 2008
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An efficient scratches detection and inpainting algorithm for old film restoration
Zhang Hongying, Wu Yadong, and Kuang Zhonglin · 2009
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Blind/referenceless image spatial quality evaluator
Anish Mittal, Anush K Moorthy, and Alan C Bovik · 2011
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Making a “completely blind” image quality analyzer
Anish Mittal, Rajiv Soundararajan, and Alan C Bovik · 2012
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Generative adversarial nets
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Adam: A method for stochastic optimization
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Jiwon Kim, Jung Kwon Lee, and Kyoung Mu Lee · 2016
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Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections
Xiaojiao Mao, Chunhua Shen, and Yu-Bin Yang · 2016
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Coherent online video style transfer
Dongdong Chen, Jing Liao, Lu Yuan, Nenghai Yu, and Gang Hua · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
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The 2017 davis challenge on video object segmentation
Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles, Pablo Arbeláez, Alex Sorkine-Hornung, and Luc Van Gool · 2017
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Deep video deblurring for hand-held cameras
Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich, and Oliver Wang · 2017
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Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
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Deep exemplar-based colorization
Mingming He, Dongdong Chen, Jing Liao, Pedro V Sander, and Lu Yuan · 2018
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Wei-Sheng Lai, Jia-Bin Huang, Oliver Wang, Eli Shechtman, Ersin Yumer, and Ming-Hsuan Yang · 2018
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Esrgan: Enhanced super-resolution generative adversarial networks
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, and Chen Change Loy · 2018
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Crafting a toolchain for image restoration by deep reinforcement learning
Ke Yu, Chao Dong, Liang Lin, and Chen Change Loy · 2018
Free-form image inpainting with gated convolution
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S Huang · 2019
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Deep exemplar-based video colorization
Bo Zhang, Mingming He, Jing Liao, Pedro V Sander, Lu Yuan, Amine Bermak, and Dong Chen · 2019
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Spatio-temporal filter adaptive network for video deblurring
Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Haozhe Xie, Wangmeng Zuo, and Jimmy Ren · 2019
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Flow-edge guided video completion
Chen Gao, Ayush Saraf, Jia-Bin Huang, and Johannes Kopf · 2020
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Fastdvdnet: Towards real-time deep video denoising without flow estimation
Matias Tassano, Julie Delon, and Thomas Veit · 2020
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Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Residual dense network for image super-resolution
Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, and Yun Fu · 2018
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Free-form video inpainting with 3d gated convolution and temporal patchgan
Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, and Winston Hsu · 2019
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Videnn: Deep blind video denoising
Michele Claus and Jan van Gemert · 2019
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Recurrent back-projection network for video super-resolution
Muhammad Haris, Gregory Shakhnarovich, and Norimichi Ukita · 2019
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Bringing old photos back to life
Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, and Fang Wen · 2020
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Old photo restoration via deep latent space translation
Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, and Fang Wen · 2020
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Basicvsr: The search for essential components in video super-resolution and beyond
Kelvin CK Chan, Xintao Wang, Ke Yu, Chao Dong, and Chen Change Loy · 2021
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Swinir: Image restoration using swin transformer
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Pd-gan: Probabilistic diverse gan for image inpainting
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Swin transformer: Hierarchical vision transformer using shifted windows
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Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, and Han Hu · 2021
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High-fidelity pluralistic image completion with transformers
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Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Xintao Wang, Liangbin Xie, Chao Dong, and Ying Shan · 2021
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Designing a practical degradation model for deep blind image super-resolution
Kai Zhang, Jingyun Liang, Luc Van Gool, and Radu Timofte · 2021
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Cswin transformer: A general vision transformer backbone with cross-shaped windows
Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Lu Yuan, Dong Chen, and Baining Guo · 2022
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