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 2741–2750 of 3874 papers

TitleStatusHype
Super-resolution of THz time-domain images based on low-rank representation—0
Super-Resolution of Wavelet-Encoded Images—0
Super Resolution On Global Weather Forecasts—0
Super-Resolution Optical Coherence Tomography Using Diffusion Model-Based Plug-and-Play Priors—0
Super-Resolution Perception for Industrial Sensor Data—0
Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning—0
Super-resolution photoacoustic and ultrasound imaging with sparse arrays—0
Super-resolution photoacoustic microscopy using blind structured illumination—0
SuperResolution Radar Gesture Recognitio—0
Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified