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 941–950 of 3874 papers

TitleStatusHype
Trustworthy SR: Resolving Ambiguity in Image Super-resolution via Diffusion Models and Human Feedback—0
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results—0
Device Activity Detection and Channel Estimation for Millimeter-Wave Massive MIMO—0
Arbitrary Scale Super-Resolution Assisted Lunar Crater Detection in Satellite Images—0
3D Volumetric Super-Resolution in Radiology Using 3D RRDB-GAN—0
Hybrid Neural Representations for Spherical Data—0
See More Details: Efficient Image Super-Resolution by Experts MiningCode2
A Robust Super-resolution Gridless Imaging Framework for UAV-borne SAR Tomography—0
Diffusion-based Light Field Synthesis—0
Improving Object Detection Quality in Football Through Super-Resolution Techniques—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified