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 351–400 of 3874 papers

TitleStatusHype
Hazy Low-Quality Satellite Video Restoration Via Learning Optimal Joint Degradation Patterns and Continuous-Scale Super-Resolution Reconstruction—0
Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution—0
GDSR: Global-Detail Integration through Dual-Branch Network with Wavelet Losses for Remote Sensing Image Super-Resolution—0
Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)Code1
MaIR: A Locality- and Continuity-Preserving Mamba for Image RestorationCode2
Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling—0
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models—0
YOLO-MST: Multiscale deep learning method for infrared small target detection based on super-resolution and YOLO—0
Structural Similarity in Deep Features: Image Quality Assessment Robust to Geometrically Disparate Reference—0
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement—0
WaveDiffUR: A diffusion SDE-based solver for ultra magnification super-resolution in remote sensing images—0
TINQ: Temporal Inconsistency Guided Blind Video Quality AssessmentCode0
Joint Multitarget Detection and Tracking with mmWave Radar—0
Foundation Model for Lossy Compression of Spatiotemporal Scientific Data—0
Solving Inverse Problems via Diffusion Optimal ControlCode1
Diffusion Prior Interpolation for Flexibility Real-World Face Super-ResolutionCode1
Uncertainty Estimation for Super-Resolution using ESRGAN—0
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution—0
Learning of Patch-Based Smooth-Plus-Sparse Models for Image ReconstructionCode0
Quantifying Climate Change Impacts on Renewable Energy Generation: A Super-Resolution Recurrent Diffusion Model—0
Block-Based Multi-Scale Image Rescaling—0
EGP3D: Edge-guided Geometric Preserving 3D Point Cloud Super-resolution for RGB-D camera—0
Sequence Matters: Harnessing Video Models in 3D Super-Resolution—0
CLIP-SR: Collaborative Linguistic and Image Processing for Super-Resolution—0
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport—0
SuperMark: Robust and Training-free Image Watermarking via Diffusion-based Super-Resolution—0
A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method—0
Super-Resolution for Remote Sensing Imagery via the Coupling of a Variational Model and Deep Learning—0
Distribution free uncertainty quantification in neuroscience-inspired deep operators—0
Arbitrary-steps Image Super-resolution via Diffusion InversionCode5
A Plug-and-Play Algorithm for 3D Video Super-Resolution of Single-Photon LiDAR data—0
OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offsCode1
RealOSR: Latent Unfolding Boosting Diffusion-based Real-world Omnidirectional Image Super-ResolutionCode0
Fair Primal Dual Splitting Method for Image Inverse Problems—0
FLRONet: Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction from Sparse Sensor Measurements—0
Regional climate risk assessment from climate models using probabilistic machine learning—0
MPSI: Mamba enhancement model for pixel-wise sequential interaction Image Super-Resolution—0
Hero-SR: One-Step Diffusion for Super-Resolution with Human Perception Priors—0
RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-ResolutionCode1
A Progressive Image Restoration Network for High-order Degradation Imaging in Remote Sensing—0
Edge-SD-SR: Low Latency and Parameter Efficient On-device Super-Resolution with Stable Diffusion via Bidirectional Conditioning—0
Neural Garment Dynamic Super-ResolutionCode1
MSCrackMamba: Leveraging Vision Mamba for Crack Detection in Fused Multispectral Imagery—0
You KAN Do It in a Single Shot: Plug-and-Play Methods with Single-Instance Priors—0
Enhancing Sample Generation of Diffusion Models using Noise Level Correction—0
Test-time Cost-and-Quality Controllable Arbitrary-Scale Super-Resolution with Variable Fourier Components—0
Jointly RS Image Deblurring and Super-Resolution with Adjustable-Kernel and Multi-Domain AttentionCode1
MSECG: Incorporating Mamba for Robust and Efficient ECG Super-Resolution—0
Unsupervised Hyperspectral and Multispectral Image Fusion via Self-Supervised Modality DecouplingCode0
2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified