SOTAVerified

Super-Resolution

Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.

( Credit: MemNet )

Papers

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Showing 771–780 of 3874 papers

TitleStatusHype
EBSR: Feature Enhanced Burst Super-Resolution With Deformable AlignmentCode1
SinIR: Efficient General Image Manipulation with Single Image ReconstructionCode1
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV MinimizationCode1
Task Transformer Network for Joint MRI Reconstruction and Super-ResolutionCode1
Video Super-Resolution TransformerCode1
Catch-A-Waveform: Learning to Generate Audio from a Single Short ExampleCode1
Variational AutoEncoder for Reference based Image Super-ResolutionCode1
Noise Conditional Flow Model for Learning the Super-Resolution SpaceCode1
MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-ResolutionCode1
Robust Reference-based Super-Resolution via C2-MatchingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified