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

Showing 29513000 of 3874 papers

TitleStatusHype
Unsupervised Video Understanding by Reconciliation of Posture Similarities0
Untrained, physics-informed neural networks for structured illumination microscopy0
Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution0
Urban precipitation downscaling using deep learning: a smart city application over Austin, Texas, USA0
Use of triplet loss for facial restoration in low-resolution images0
USF Spectral Estimation: Prevalence of Gaussian Cramér-Rao Bounds Despite Modulo Folding0
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution0
Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows0
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology0
Using Super-Resolution Imaging for Recognition of Low-Resolution Blurred License Plates: A Comparative Study of Real-ESRGAN, A-ESRGAN, and StarSRGAN0
V2X Sidelink Positioning in FR1: From Ray-Tracing and Channel Estimation to Bayesian Tracking0
Variational Message Passing-based Multiobject Tracking for MIMO-Radars using Raw Sensor Signals0
VarSR: Variational Super-Resolution Network for Very Low Resolution Images0
VEnhancer: Generative Space-Time Enhancement for Video Generation0
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network0
Very Deep Super-Resolution of Remotely Sensed Images with Mean Square Error and Var-norm Estimators as Loss Functions0
Very Low-Resolution Iris Recognition Via Eigen-Patch Super-Resolution and Matcher Fusion0
VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge0
VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution0
VHS to HDTV Video Translation using Multi-task Adversarial Learning0
Video compression with low complexity CNN-based spatial resolution adaptation0
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements0
Video-Specific Autoencoders for Exploring, Editing and Transmitting Videos0
Video Face Super-Resolution with Motion-Adaptive Feedback Cell0
VideoGigaGAN: Towards Detail-rich Video Super-Resolution0
Video Interpolation with Diffusion Models0
Video Restoration with a Deep Plug-and-Play Prior0
Rethinking Video Super-Resolution: Towards Diffusion-Based Methods without Motion Alignment0
Video Super Resolution Based on Deep Learning: A Comprehensive Survey0
Video super-resolution for single-photon LIDAR0
Video Super-Resolution Using a Grouped Residual in Residual Network0
Video Super-Resolution via Deep Draft-Ensemble Learning0
Video Super-Resolution with Long-Term Self-Exemplars0
VIINTER: View Interpolation with Implicit Neural Representations of Images0
Virtual Coil Augmentation Technology for MR Coil Extrapolation via Deep Learning0
Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval0
Vision-Informed Flow Image Super-Resolution with Quaternion Spatial Modeling and Dynamic Flow Convolution0
ViTO: Vision Transformer-Operator0
VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data0
Volume Tells: Dual Cycle-Consistent Diffusion for 3D Fluorescence Microscopy De-noising and Super-Resolution0
Volumetric Image Projection Super-Resolution Ultrasound (VIP-SR) with a 1D Unfocused Linear Array0
Volumetric Super-Resolution of Multispectral Data0
VoLUT: Efficient Volumetric streaming enhanced by LUT-based super-resolution0
VSpSR: Explorable Super-Resolution via Variational Sparse Representation0
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models0
WaveDiffUR: A diffusion SDE-based solver for ultra magnification super-resolution in remote sensing images0
Wavelet-Based Segmentation on the Sphere0
Wavelet-SRNet: A Wavelet-Based CNN for Multi-Scale Face Super Resolution0
Wave-U-Mamba: An End-To-End Framework For High-Quality And Efficient Speech Super Resolution0
WDN: A Wide and Deep Network to Divide-and-Conquer Image Super-resolution0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified