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 376–400 of 3874 papers

TitleStatusHype
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
Show:102550
← PrevPage 16 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified