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eess.IV2021★ 2 cited
Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction
Minyi Zhao, Yi Xu, Shuigeng Zhou
A number of deep learning based algorithms have been proposed to recover high-quality videos from low-quality compressed ones. Among them, some restore the missing details of each…
eess.IV2021★ 4 cited
Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information
Yi Xu, Minyi Zhao, Jing Liu +4
Many deep learning based video compression artifact removal algorithms have been proposed to recover high-quality videos from low-quality compressed videos. Recently, methods were…
eess.IV2021★ 4 cited
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
Ren Yang, Radu Timofte, Jing Liu +69
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results. In this challenge, the new Large-scale Di…