3260 papers • 126 benchmarks • 313 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.
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The novel flow refinement module of EFENet refines the flow regarding the furthest frame using all the estimated flows, which leverages the global temporal information within the sequence and therefore effectively reduces the alignment errors.
The first RefVSR network that re-currently aligns and propagates temporal reference features fused with features extracted from low-resolution frames is introduced, and the result shows the state-of-the-art performance in 4 × super-resolution.
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