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 676–700 of 3874 papers

TitleStatusHype
A Hybrid Registration and Fusion Method for Hyperspectral Super-resolution—0
Edge-guided and Cross-scale Feature Fusion Network for Efficient Multi-contrast MRI Super-ResolutionCode0
NSD-DIL: Null-Shot Deblurring Using Deep Identity Learning—0
AnySR: Realizing Image Super-Resolution as Any-Scale, Any-ResourceCode2
M^3:Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask—0
ASteISR: Adapting Single Image Super-resolution Pre-trained Model for Efficient Stereo Image Super-resolutionCode0
Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning—0
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-DesignCode0
Adversarial Magnification to Deceive Deepfake Detection through Super ResolutionCode1
Efficient Terrain Stochastic Differential Efficient Terrain Stochastic Differential Equations for Multipurpose Digital Elevation Model Restoration—0
Real HSI-MSI-PAN image dataset for the hyperspectral/multi-spectral/panchromatic image fusion and super-resolution fieldsCode1
DaBiT: Depth and Blur informed Transformer for Joint Refocusing and Super-ResolutionCode0
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration ModelsCode2
Preserving Full Degradation Details for Blind Image Super-ResolutionCode1
CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image FusionCode1
ASSR-NeRF: Arbitrary-Scale Super-Resolution on Voxel Grid for High-Quality Radiance Fields Reconstruction—0
Efficient Event Stream Super-Resolution with Recursive Multi-Branch FusionCode0
Super-resolution imaging using super-oscillatory diffractive neural networks—0
Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-ResolutionCode1
V2X Sidelink Positioning in FR1: From Ray-Tracing and Channel Estimation to Bayesian Tracking—0
A Near-Field Super-Resolution Network for Accelerating Antenna Characterization—0
Burst Image Super-Resolution with Base Frame Selection—0
Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution—0
DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-ResolutionCode1
Improving Generative Adversarial Networks for Video Super-Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified