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 1401–1425 of 3874 papers

TitleStatusHype
From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task—0
FFT-Enhanced Low-Complexity Near-Field Super-Resolution Sensing—0
HF-Diff: High-Frequency Perceptual Loss and Distribution Matching for One-Step Diffusion-Based Image Super-ResolutionCode0
RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content—0
Efficient Medicinal Image Transmission and Resolution Enhancement via GAN—0
Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-ResolutionCode0
Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution—0
S^3Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model—0
DiffFNO: Diffusion Fourier Neural Operator—0
A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift—0
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements—0
GAN-Based Architecture for Low-dose Computed Tomography Imaging Denoising—0
Performance Boundaries and Tradeoffs in Super-Resolution Imaging Technologies for Space Targets—0
LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution—0
On Adapting Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction—0
LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution—0
360-Degree Video Super Resolution and Quality Enhancement Challenge: Methods and Results—0
Expansion microscopy reveals neural circuit organization in genetic animal models—0
Evaluating Detection Thresholds: The Impact of False Positives and Negatives on Super-Resolution Ultrasound Localization Microscopy—0
Ensemble Learning for Microbubble Localization in Super-Resolution Ultrasound—0
Efficient Denoising Method to Improve The Resolution of Satellite Images—0
SuperResolution Radar Gesture Recognitio—0
Quasi-Newton OMP Approach for Super-Resolution Channel Estimation and Extrapolation—0
A Modular Conditional Diffusion Framework for Image Reconstruction—0
WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified