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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1101–1125 of 3874 papers

TitleStatusHype
A Spectral Diffusion Prior for Hyperspectral Image Super-ResolutionCode1
Texture and Noise Dual Adaptation for Infrared Image Super-ResolutionCode0
RBPGAN: Recurrent Back-Projection GAN for Video Super Resolution—0
The Perception-Robustness Tradeoff in Deterministic Image Restoration—0
Learning based Deep Disentangling Light Field Reconstruction and Disparity Estimation Application—0
Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR ImagesCode0
A Lightweight Recurrent Aggregation Network for Satellite Video Super-ResolutionCode1
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
Efficient Model-Based Deep Learning via Network Pruning and Fine-TuningCode0
PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation—0
Exploring Deep Learning Image Super-Resolution for Iris Recognition—0
Lightweight super resolution network for point cloud geometry compressionCode1
Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter—0
Optimal Transport-Guided Conditional Score-Based Diffusion ModelsCode1
VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic DataCode1
High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging—0
IterInv: Iterative Inversion for Pixel-Level T2I ModelsCode0
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified