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 2726–2750 of 3874 papers

TitleStatusHype
Super-resolution method using sparse regularization for point-spread function recovery—0
Super-resolution MRI Using Finite Rate of Innovation Curves—0
Super-resolution multi-contrast unbiased eye atlases with deep probabilistic refinement—0
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network—0
Super-resolution of biomedical volumes with 2D supervision—0
Super-Resolution of Brain MRI Images using Overcomplete Dictionaries and Nonlocal Similarity—0
Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes—0
Super-Resolution Off the Grid—0
Super resolution of histopathological frozen sections via deep learning preserving tissue structure—0
Super-resolution of multispectral satellite images using convolutional neural networks—0
Super-resolution of periodic signals from short sequences of samples—0
Super-resolution of positive near-colliding point sources—0
Super-Resolution of PROBA-V Images Using Convolutional Neural Networks—0
Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network—0
Super-resolution of spatiotemporal event-stream image captured by the asynchronous temporal contrast vision sensor—0
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