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 1876–1900 of 3874 papers

TitleStatusHype
Learning based Deep Disentangling Light Field Reconstruction and Disparity Estimation Application—0
The Perception-Robustness Tradeoff in Deterministic Image Restoration—0
Improved Pothole Detection Using YOLOv7 and ESRGANCode0
Plasma Surrogate Modelling using Fourier Neural Operators—0
OW-SLR: Overlapping Windows on Semi-Local Region for Image Super-ResolutionCode0
An End-Cloud Computing Enabled Surveillance Video Transmission System—0
Learning Super-Resolution Ultrasound Localization Microscopy from Radio-Frequency Data—0
An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific SimulationsCode0
Domain Transfer in Latent Space (DTLS) Wins on Image Super-Resolution -- a Non-Denoising ModelCode0
Learning-Based and Quality Preserving Super-Resolution of Noisy Images—0
PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation—0
Efficient Model-Based Deep Learning via Network Pruning and Fine-TuningCode0
Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter—0
Exploring Deep Learning Image Super-Resolution for Iris Recognition—0
High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging—0
IterInv: Iterative Inversion for Pixel-Level T2I ModelsCode0
SCAN-MUSIC: An Efficient Super-resolution Algorithm for Single Snapshot Wide-band Line Spectral Estimation—0
Deep Learning Enables Large Depth-of-Field Images for Sub-Diffraction-Limit Scanning Superlens Microscopy—0
Blind Image Super-resolution with Rich Texture-Aware Codebooks—0
BERT-PIN: A BERT-based Framework for Recovering Missing Data Segments in Time-series Load Profiles—0
Local Statistics for Generative Image Detection—0
Single-pixel imaging based on deep learning—0
Spectral-based detection of chromatin loops in multiplexed super-resolution FISH data—0
Unpaired MRI Super Resolution with Contrastive Learning—0
A Coordinate Descent Approach to Atomic Norm Denoising—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified