Kernel Dimension Matters: To Activate Available Kernels for Real-time Video Super-Resolution

Author:

Jin Shuo1ORCID,Liu Meiqin1ORCID,Yao Chao2ORCID,Lin Chunyu1ORCID,Zhao Yao1ORCID

Affiliation:

1. Institute of Information Science, Beijing Jiaotong University; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China

2. University of Science and Technology Beijing, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

ACM

Reference34 articles.

1. Real-time video super-resolution via motion convolution kernel estimation

2. Jose Caballero Christian Ledig Andrew P. Aitken Alejandro Acosta Johannes Totz Zehan Wang and Wenzhe Shi. 2017. Real-time video super-resolution with spatio-temporal networks and motion compensation. In CVPR. 2848--2857. Jose Caballero Christian Ledig Andrew P. Aitken Alejandro Acosta Johannes Totz Zehan Wang and Wenzhe Shi. 2017. Real-time video super-resolution with spatio-temporal networks and motion compensation. In CVPR. 2848--2857.

3. Kelvin CK Chan Xintao Wang Ke Yu Chao Dong and Chen Change Loy. 2021. BasicVSR: The search for essential components in video super-resolution and beyond. In CVPR. 4947--4956. Kelvin CK Chan Xintao Wang Ke Yu Chao Dong and Chen Change Loy. 2021. BasicVSR: The search for essential components in video super-resolution and beyond. In CVPR. 4947--4956.

4. Kelvin CK Chan Shangchen Zhou Xiangyu Xu and Chen Change Loy. 2022. BasicVSR: Improving video super-resolution with enhanced propagation and alignment. In CVPR. 5972--5981. Kelvin CK Chan Shangchen Zhou Xiangyu Xu and Chen Change Loy. 2022. BasicVSR: Improving video super-resolution with enhanced propagation and alignment. In CVPR. 5972--5981.

5. Dario Fuoli Martin Danelljan Radu Timofte and Luc Van Gool. 2023. Fast online video super-resolution with deformable attention pyramid. In ACCV. 1735--1744. Dario Fuoli Martin Danelljan Radu Timofte and Luc Van Gool. 2023. Fast online video super-resolution with deformable attention pyramid. In ACCV. 1735--1744.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3