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 2501–2550 of 3874 papers

TitleStatusHype
CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors—0
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study—0
NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows—0
CISRDCNN: Super-resolution of compressed images using deep convolutional neural networks—0
Circumventing the resolution-time tradeoff in Ultrasound Localization Microscopy by Velocity Filtering—0
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
Ultra-Range Gesture Recognition using a Web-Camera in Human-Robot Interaction—0
You KAN Do It in a Single Shot: Plug-and-Play Methods with Single-Instance Priors—0
ODE-Inspired Network Design for Single Image Super-Resolution—0
ChartEye: A Deep Learning Framework for Chart Information Extraction—0
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples—0
Characteristic Regularisation for Super-Resolving Face Images—0
Channel-wise and Spatial Feature Modulation Network for Single Image Super-Resolution—0
Omnidirectional Video Super-Resolution using Deep Learning—0
Omniscient Video Super-Resolution—0
OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model—0
On Adapting Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction—0
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit—0
On-Device Text Image Super Resolution—0
Channel Splitting Network for Single MR Image Super-Resolution—0
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution—0
One Model for Two Tasks: Cooperatively Recognizing and Recovering Low-Resolution Scene Text Images by Iterative Mutual Guidance—0
ACNPU: A 4.75TOPS/W 1080P@30FPS Super Resolution Accelerator with Decoupled Asymmetric Convolution—0
UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space—0
One-Shot Image Restoration—0
One-Shot Model for Mixed-Precision Quantization—0
Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution—0
Channel Attention and Multi-level Features Fusion for Single Image Super-Resolution—0
Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment—0
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images—0
One Target, Many Views: Multi-User Fusion for Collaborative Uplink ISAC—0
Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems—0
Online 4D Ultrasound-Guided Robotic Tracking Enables 3D Ultrasound Localisation Microscopy with Large Tissue Displacements—0
Online Streaming Video Super-Resolution with Convolutional Look-Up Table—0
Online Video Super-Resolution with Convolutional Kernel Bypass Graft—0
CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution—0
CasSR: Activating Image Power for Real-World Image Super-Resolution—0
Unaligned RGB Guided Hyperspectral Image Super-Resolution with Spatial-Spectral Concordance—0
Cas-DiffCom: Cascaded diffusion model for infant longitudinal super-resolution 3D medical image completion—0
Cascaded Diffusion Models for High Fidelity Image Generation—0
On the modern deep learning approaches for precipitation downscaling—0
On the Robustness of Normalizing Flows for Inverse Problems in Imaging—0
On The Role of Alias and Band-Shift for Sentinel-2 Super-Resolution—0
On the Use of Singular Value Decomposition as a Clutter Filter for Ultrasound Flow Imaging—0
On training deep networks for satellite image super-resolution—0
On Versatile Video Coding at UHD with Machine-Learning-Based Super-Resolution—0
OPDN: Omnidirectional Position-aware Deformable Network for Omnidirectional Image Super-Resolution—0
Cascaded Detail-Preserving Networks for Super-Resolution of Document Images—0
Uncertainty-Driven Loss for Single Image Super-Resolution—0
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified