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 176–200 of 3874 papers

TitleStatusHype
Evaluation of Machine-generated Biomedical Images via A Tally-based Similarity Measure—0
Deterministic Medical Image Translation via High-fidelity Brownian Bridges—0
RELD: Regularization by Latent Diffusion Models for Image Restoration—0
KernelFusion: Assumption-Free Blind Super-Resolution via Patch Diffusion—0
Simulation-informed deep learning for enhanced SWOT observations of fine-scale ocean dynamics—0
PLAIN: Scalable Estimation Architecture for Integrated Sensing and CommunicationCode0
Diffusion Image Prior—0
Residual Learning Inspired Crossover Operator and Strategy Enhancements for Evolutionary Multitasking—0
Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications—0
Progressive Focused Transformer for Single Image Super-ResolutionCode2
Consistency Trajectory Matching for One-Step Generative Super-Resolution—0
ESSR: An 8K@30FPS Super-Resolution Accelerator With Edge Selective Network—0
Burst Image Super-Resolution with Mamba—0
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality AssessmentCode1
Single-Step Latent Consistency Model for Remote Sensing Image Super-Resolution—0
L^2FMamba: Lightweight Light Field Image Super-Resolution with State Space Model—0
Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion ModelsCode1
Leveraging Land Cover Priors for Isoprene Emission Super-Resolution—0
Benchmarking Burst Super-Resolution for Polarization Images: Noise Dataset and Analysis—0
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model—0
A Two-Stage Rotation-Based Super-Resolution Signature Estimation for Spatial Wideband Systems—0
Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration—0
Hierarchy-Aware and Channel-Adaptive Semantic Communication for Bandwidth-Limited Data Fusion—0
PH2ST:ST-Prompt Guided Histological Hypergraph Learning for Spatial Gene Expression Prediction—0
R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model—0
Show:102550
← PrevPage 8 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified