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 14011425 of 3874 papers

TitleStatusHype
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution NetworksCode1
Integrated Super-Resolution Sensing and Communication with 5G NR Waveform: Signal Processing with Uneven CPs and Experiments0
Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution0
Deep Learning and Image Super-Resolution-Guided Beam and Power Allocation for mmWave Networks0
SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate ReductionCode0
Neural Architecture Search for Intel Movidius VPU0
Detecting disruption of HER2 membrane protein organization in cell membranes with nanoscale precision0
Steered Mixture-of-Experts Autoencoder Design for Real-Time Image Modelling and Denoising0
AsConvSR: Fast and Lightweight Super-Resolution Network with Assembled Convolutions0
Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution0
GCRDN: Global Context-Driven Residual Dense Network for Remote Sensing Image SuperresolutionCode1
Expanding Synthetic Real-World Degradations for Blind Video Super Resolution0
Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features0
An FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical Instrument InterfaceCode0
Bicubic++: Slim, Slimmer, Slimmest -- Designing an Industry-Grade Super-Resolution NetworkCode2
Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-ResolutionCode1
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-ResolutionCode1
Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar ImagingCode1
Deep Learning-Assisted Simultaneous Targets Sensing and Super-Resolution Imaging0
Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodlesCode1
Self-supervised arbitrary scale super-resolution framework for anisotropic MRI0
Sparsity-Aware Optimal Transport for Unsupervised Restoration Learning0
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance RegularizationCode0
Enhancing Video Super-Resolution via Implicit Resampling-based AlignmentCode2
OPDN: Omnidirectional Position-aware Deformable Network for Omnidirectional Image Super-Resolution0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified