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 2076–2100 of 3874 papers

TitleStatusHype
Can SAM Boost Video Super-Resolution?—0
Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation—0
Propagation Modeling for Physically Large Arrays: Measurements and Multipath Component Visibility—0
Integrated Super-Resolution Sensing and Communication with 5G NR Waveform: Signal Processing with Uneven CPs and Experiments—0
Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution—0
SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate ReductionCode0
Deep Learning and Image Super-Resolution-Guided Beam and Power Allocation for mmWave Networks—0
Steered Mixture-of-Experts Autoencoder Design for Real-Time Image Modelling and Denoising—0
Detecting disruption of HER2 membrane protein organization in cell membranes with nanoscale precision—0
Neural Architecture Search for Intel Movidius VPU—0
AsConvSR: Fast and Lightweight Super-Resolution Network with Assembled Convolutions—0
Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution—0
Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features—0
Expanding Synthetic Real-World Degradations for Blind Video Super Resolution—0
An FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical Instrument InterfaceCode0
Deep Learning-Assisted Simultaneous Targets Sensing and Super-Resolution Imaging—0
Self-supervised arbitrary scale super-resolution framework for anisotropic MRI—0
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance RegularizationCode0
Sparsity-Aware Optimal Transport for Unsupervised Restoration Learning—0
Super-NeRF: View-consistent Detail Generation for NeRF super-resolution—0
OPDN: Omnidirectional Position-aware Deformable Network for Omnidirectional Image Super-Resolution—0
On the Use of Singular Value Decomposition as a Clutter Filter for Ultrasound Flow Imaging—0
GlyphDiffusion: Text Generation as Image Generation—0
SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge—0
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified