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 1551–1575 of 3874 papers

TitleStatusHype
Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-ResolutionCode0
QMambaBSR: Burst Image Super-Resolution with Query State Space Model—0
Enhancing Events in Neutrino Telescopes through Deep Learning-Driven Super-ResolutionCode0
DIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution—0
Event-Stream Super Resolution using Sigma-Delta Neural Network—0
Palantir: Towards Efficient Super Resolution for Ultra-high-definition Live StreamingCode0
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution—0
Kalman-Inspired Feature Propagation for Video Face Super-Resolution—0
Efficient Single Image Super-Resolution with Entropy Attention and Receptive Field Augmentation—0
Monitoring of Hermit Crabs Using drone-captured imagery and Deep Learning based Super-Resolution Reconstruction and Improved YOLOv8—0
Underwater litter monitoring using consumer-grade aerial-aquatic speedy scanner (AASS) and deep learning based super-resolution reconstruction and detection network—0
SGSR: Structure-Guided Multi-Contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention—0
Supervised Image Translation from Visible to Infrared Domain for Object Detection—0
PINNs for Medical Image Analysis: A Survey—0
Stop-and-go wave super-resolution reconstruction via iterative refinement—0
Image Super-Resolution with Taylor Expansion Approximation and Large Field Reception—0
What makes for good morphology representations for spatial omics?—0
Efficient Channel Estimation for Millimeter Wave and Terahertz Systems Enabled by Integrated Super-resolution Sensing and Communication—0
Deep Learning for Super-resolution Ultrasound Imaging with Spatiotemporal Data—0
Competition-based Adaptive ReLU for Deep Neural Networks—0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network—0
Inverse Problems with Diffusion Models: A MAP Estimation PerspectiveCode0
Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data (Sup3rWind) and Application to Ukraine—0
GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution—0
Cuboid-Net: A Multi-Branch Convolutional Neural Network for Joint Space-Time Video Super Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified