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cs.CV2025
Blind Video Super-Resolution based on Implicit Kernels
Qiang Zhu, Yuxuan Jiang, Shuyuan Zhu +3
Blind video super-resolution (BVSR) is a low-level vision task which aims to generate high-resolution videos from low-resolution counterparts in unknown degradation scenarios. Exis…
cs.CV2025
FCVSR: A Frequency-aware Method for Compressed Video Super-Resolution
Qiang Zhu, Fan Zhang, Feiyu Chen +3
Compressed video super-resolution (SR) aims to generate high-resolution (HR) videos from the corresponding low-resolution (LR) compressed videos. Recently, some compressed video SR…
cs.CV2024
Compressed Video Quality Enhancement with Temporal Group Alignment and Fusion
Qiang Zhu, Yajun Qiu, Yu Liu +2
In this paper, we propose a temporal group alignment and fusion network to enhance the quality of compressed videos by using the long-short term correlations between frames. The pr…