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 3151–3175 of 3874 papers

TitleStatusHype
Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization—0
A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imagingCode0
Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses—0
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task LearningCode0
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties—0
AIM 2019 Challenge on Constrained Super-Resolution: Methods and ResultsCode0
Cross-Scale Residual Network for Multiple Tasks:Image Super-resolution, Denoising, and Deblocking—0
Training Set Effect on Super Resolution for Automated Target Recognition—0
Facial Expression Restoration Based on Improved Graph Convolutional Networks—0
Hyperspectral Super-resolution: A Coupled Nonnegative Block-term Tensor Decomposition Approach—0
Image Restoration Using Deep Regulated Convolutional NetworksCode0
Component Attention Guided Face Super-Resolution Network: CAGFaceCode0
Image Deconvolution with Deep Image and Kernel Priors—0
Multimodal Image Super-resolution via Deep Unfolding with Side Information—0
Translation position extracting in incoherent Fourier ptychography—0
ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference—0
eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference—0
Image Super-Resolution via Attention based Back Projection NetworksCode0
Practical License Plate Recognition in Unconstrained Surveillance Systems with Adversarial Super-ResolutionCode0
Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion—0
Wavelet Domain Style Transfer for an Effective Perception-distortion Tradeoff in Single Image Super-ResolutionCode0
Unsupervised Image Super-Resolution with an Indirect Supervised Path—0
Image Super-Resolution Improved by Edge InformationCode0
High-dimensional Dense Residual Convolutional Neural Network for Light Field ReconstructionCode1
Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified