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

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Showing 626–650 of 3874 papers

TitleStatusHype
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
Efficient Channel Estimation for Millimeter Wave and Terahertz Systems Enabled by Integrated Super-resolution Sensing and Communication—0
What makes for good morphology representations for spatial omics?—0
Deep Learning for Super-resolution Ultrasound Imaging with Spatiotemporal Data—0
Efficient Face Super-Resolution via Wavelet-based Feature Enhancement NetworkCode2
Competition-based Adaptive ReLU for Deep Neural Networks—0
Inverse Problems with Diffusion Models: A MAP Estimation PerspectiveCode0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network—0
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
3DAttGAN: A 3D Attention-based Generative Adversarial Network for Joint Space-Time Video Super-ResolutionCode0
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution—0
Attention Beats Linear for Fast Implicit Neural Representation GenerationCode1
Efficient Multi-disparity Transformer for Light Field Image Super-resolution—0
ThermalNeRF: Thermal Radiance Fields—0
A New Dataset and Framework for Real-World Blurred Images Super-ResolutionCode1
Large Kernel Distillation Network for Efficient Single Image Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified