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 2501–2510 of 3874 papers

TitleStatusHype
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer—0
Capsule GAN for Prostate MRI Super-Resolution—0
Multi-scale super-resolution generation of low-resolution scanned pathological imagesCode0
Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical NaturalnessCode1
End-to-end Alternating Optimization for Blind Super ResolutionCode1
A Frequency Domain Constraint for Synthetic and Real X-ray Image Super Resolution—0
Multi-Resolution Data Fusion for Super Resolution ImagingCode0
FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution—0
EDPN: Enhanced Deep Pyramid Network for Blurry Image RestorationCode1
DPSRGAN: Dilation Patch Super-Resolution Generative Adversarial NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified