Search Results for author: Yanze Wu

Found 4 papers, 3 papers with code

AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos

1 code implementation14 Jun 2022 Yanze Wu, Xintao Wang, Gen Li, Ying Shan

This paper studies the problem of real-world video super-resolution (VSR) for animation videos, and reveals three key improvements for practical animation VSR.

Video Super-Resolution

MM-RealSR: Metric Learning based Interactive Modulation for Real-World Super-Resolution

1 code implementation10 May 2022 Chong Mou, Yanze Wu, Xintao Wang, Chao Dong, Jian Zhang, Ying Shan

Instead of using known degradation levels as explicit supervision to the interactive mechanism, we propose a metric learning strategy to map the unquantifiable degradation levels in real-world scenarios to a metric space, which is trained in an unsupervised manner.

Image Restoration Metric Learning +1

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