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
Plasma Surrogate Modelling using Fourier Neural Operators—0
Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications—0
Pixel super-resolved lensless on-chip sensor with scattering multiplexing—0
PNEN: Pyramid Non-Local Enhanced Networks—0
Point Cloud Sampling via Graph Balancing and Gershgorin Disc Alignment—0
PointSAGE: Mesh-independent superresolution approach to fluid flow predictions—0
Polyblur: Removing mild blur by polynomial reblurring—0
Likelihood Annealing: Fast Calibrated Uncertainty for Regression—0
Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint—0
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report—0
Predicting Future States with Spatial Point Processes in Single Molecule Resolution Spatial Transcriptomics—0
Predicting Stress in Two-phase Random Materials and Super-Resolution Method for Stress Images by Embedding Physical Information—0
Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification—0
Prediction-assistant Frame Super-Resolution for Video Streaming—0
Prior Knowledge Distillation Network for Face Super-Resolution—0
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis—0
Privacy-Preserving Action Recognition for Smart Hospitals using Low-Resolution Depth Images—0
Privacy-Preserving Human Activity Recognition from Extreme Low Resolution—0
Private Eye: On the Limits of Textual Screen Peeking via Eyeglass Reflections in Video Conferencing—0
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI—0
Precipitation Downscaling with Spatiotemporal Video Diffusion—0
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties—0
Process of image super-resolution—0
ProfileSR-GAN: A GAN based Super-Resolution Method for Generating High-Resolution Load Profiles—0
Progressive Generative Adversarial Networks for Medical Image Super resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified