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 1301–1325 of 3874 papers

TitleStatusHype
Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection—0
DWA: Differential Wavelet Amplifier for Image Super-ResolutionCode0
Enhancing Building Semantic Segmentation Accuracy with Super Resolution and Deep Learning: Investigating the Impact of Spatial Resolution on Various Datasets—0
Cross-Spatial Pixel Integration and Cross-Stage Feature Fusion Based Transformer Network for Remote Sensing Image Super-Resolution—0
RefVSR++: Exploiting Reference Inputs for Reference-based Video Super-resolution—0
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution ModelsCode1
Source Identification: A Self-Supervision Task for Dense Prediction—0
Compound Attention and Neighbor Matching Network for Multi-contrast MRI Super-resolution—0
Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRICode1
Spatio-Temporal Perception-Distortion Trade-off in Learned Video SRCode0
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution—0
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion ModelsCode1
Enhancing Super-Resolution Networks through Realistic Thick-Slice CT SimulationCode0
Line Spectrum Estimation and Detection with Few-bit ADCs: Theoretical Analysis and Generalized NOMP Algorithm—0
WaveMixSR: A Resource-efficient Neural Network for Image Super-resolutionCode1
A Motion Assessment Method for Reference Stack Selection in Fetal Brain MRI Reconstruction Based on Tensor Rank ApproximationCode0
RBSR: Efficient and Flexible Recurrent Network for Burst Super-ResolutionCode1
Cutting-Edge Techniques for Depth Map Super-Resolution—0
Semantic Segmentation Using Super Resolution Technique as Pre-Processing—0
SPDER: Semiperiodic Damping-Enabled Object Representation—0
Novel Hybrid-Learning Algorithms for Improved Millimeter-Wave Imaging SystemsCode0
Store and Fetch Immediately: Everything Is All You Need for Space-Time Video Super-resolutionCode0
Iterative-in-Iterative Super-Resolution Biomedical Imaging Using One Real Image—0
SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology ImageCode1
Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified