Reference-based Video Super-Resolution
3 papers with code • 1 benchmarks • 1 datasets
Reference-based video super-resolution (RefVSR) is an expansion of reference-based super-resolution (RefSR) to the video super-resolution (VSR). RefVSR inherits the objectives of both RefSR and VSR tasks and utilizes a Ref video for reconstructing an HR video from an LR video video from an LR video.
Benchmarks
These leaderboards are used to track progress in Reference-based Video Super-Resolution
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RealMCVSR
Most implemented papers
EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
In this paper, we consider the problem of reference-based video super-resolution(RefVSR), i. e., how to utilize a high-resolution (HR) reference frame to super-resolve a low-resolution (LR) video sequence.
Reference-based Video Super-Resolution Using Multi-Camera Video Triplets
codeslake/RefVSR
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CVPR 2022
To facilitate the fusion and propagation of temporal reference features, we propose a propagative temporal fusion module.
Reference-based Image and Video Super-Resolution via C2-Matching
To tackle these challenges, we propose C2-Matching in this work, which performs explicit robust matching crossing transformation and resolution.
