Versatile recurrent neural network for wide types of video restoration-Reference-Cited by-同舟云学术

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Versatile recurrent neural network for wide types of video restoration

Published:2023-06 Issue: Volume:138 Page:109360
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Wang Yadong,Bai Xiangzhi

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference38 articles.

1. Blurred target tracking by blur-driven tracker;Wu,2011

2. Dense 3D reconstruction from severely blurred images using a single moving camera;Seok Lee,2013

3. Learning enriched features for real image restoration and enhancement;Zamir,2020

4. Plug-and-play image restoration with deep denoiser prior;Zhang;IEEE Trans. Pattern Anal. Mach. Intell.,2021

5. SwinIR: image restoration using swin transformer;Liang,2021

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1. Reconstruction flow recurrent network for compressed video quality enhancement;Pattern Recognition;2024-11

2. IBVC: Interpolation-driven B-frame video compression;Pattern Recognition;2024-09

3. Depth-Aware Unpaired Video Dehazing;IEEE Transactions on Image Processing;2024

4. Towards an Effective and Efficient Transformer for Rain-by-Snow Weather Removal;2023

5. Reconstruction Flow Recurrent Network for Compressed Video Quality Enhancement;2023

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