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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 3: AAAI-21 Technical Tracks 3

Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling

February 1, 2023

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Authors

Hongying Liu

Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University


Peng Zhao

Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University


Zhubo Ruan

Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University


Fanhua Shang

Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University Peng Cheng Lab, Shenzhen


Yuanyuan Liu

Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University


DOI:

10.1609/aaai.v35i3.16310


Abstract:

Video super-resolution (VSR) aims at restoring a video in low-resolution (LR) and improving it to higher-resolution (HR). Due to the characteristics of video tasks, it is very important that motion information among frames should be well concerned, summarized and utilized for guidance in a VSR algorithm. Especially, when a video contains large motion, conventional methods easily bring incoherent results or artifacts. In this paper, we propose a novel deep neural network with Dual Subnet and Multi-stage Communicated Upsampling (DSMC) for super-resolution of videos with large motion. We design a new module named U-shaped residual dense network with 3D convolution (U3D-RDN) for fine implicit motion estimation and motion compensation (MEMC) as well as coarse spatial feature extraction. And we present a new Multi-Stage Communicated Upsampling (MSCU) module to make full use of the intermediate results of upsampling for guiding the VSR. Moreover, a novel dual subnet is devised to aid the training of our DSMC, whose dual loss helps to reduce the solution space as well as enhance the generalization ability. Our experimental results confirm that our method achieves superior performance on videos with large motion compared to state-of-the-art methods.

Topics: AAAI

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HOW TO CITE:

Hongying Liu||Peng Zhao||Zhubo Ruan||Fanhua Shang||Yuanyuan Liu Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling Proceedings of the AAAI Conference on Artificial Intelligence (2021) 2127-2135.

Hongying Liu||Peng Zhao||Zhubo Ruan||Fanhua Shang||Yuanyuan Liu Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling AAAI 2021, 2127-2135.

Hongying Liu||Peng Zhao||Zhubo Ruan||Fanhua Shang||Yuanyuan Liu (2021). Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. Proceedings of the AAAI Conference on Artificial Intelligence, 2127-2135.

Hongying Liu||Peng Zhao||Zhubo Ruan||Fanhua Shang||Yuanyuan Liu. Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.2127-2135.

Hongying Liu||Peng Zhao||Zhubo Ruan||Fanhua Shang||Yuanyuan Liu. 2021. Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. "Proceedings of the AAAI Conference on Artificial Intelligence". 2127-2135.

Hongying Liu||Peng Zhao||Zhubo Ruan||Fanhua Shang||Yuanyuan Liu. (2021) "Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling", Proceedings of the AAAI Conference on Artificial Intelligence, p.2127-2135

Hongying Liu||Peng Zhao||Zhubo Ruan||Fanhua Shang||Yuanyuan Liu, "Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling", AAAI, p.2127-2135, 2021.

Hongying Liu||Peng Zhao||Zhubo Ruan||Fanhua Shang||Yuanyuan Liu. "Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.2127-2135.

Hongying Liu||Peng Zhao||Zhubo Ruan||Fanhua Shang||Yuanyuan Liu. "Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 2127-2135.

Hongying Liu||Peng Zhao||Zhubo Ruan||Fanhua Shang||Yuanyuan Liu. Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. AAAI[Internet]. 2021[cited 2023]; 2127-2135.


ISSN: 2374-3468


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