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 1451–1500 of 3874 papers

TitleStatusHype
Hyperspectral Image Super-Resolution via Dual-domain Network Based on Hybrid Convolution—0
Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement—0
HyperINR: A Fast and Predictive Hypernetwork for Implicit Neural Representations via Knowledge Distillation—0
Towards Realistic Ultrasound Fetal Brain Imaging SynthesisCode1
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-ResolutionCode1
Super-Resolving Face Image by Facial Parsing InformationCode0
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-ResolutionCode1
Acceleration-Based Kalman Tracking for Super-Resolution Ultrasound Imaging in vivo—0
Generative Diffusion Prior for Unified Image Restoration and Enhancement—0
CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-ResolutionCode1
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models—0
Real-time 6K Image Rescaling with Rate-distortion OptimizationCode1
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images—0
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
Tunable Convolutions with Parametric Multi-Loss OptimizationCode1
Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation TransformerCode1
Image-to-image domain adaptation for vehicle re-identification—0
Dual Circle Contrastive Learning-Based Blind Image Super-Resolution—0
Implicit Diffusion Models for Continuous Super-ResolutionCode2
Random Weights Networks Work as Loss Prior Constraint for Image Restoration—0
Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration—0
Operational Neural Networks for Parameter-Efficient Hyperspectral Single-Image Super-ResolutionCode0
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-ResolutionCode1
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super ResolutionCode1
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural RepresentationsCode1
Learning Generative Structure Prior for Blind Text Image Super-resolutionCode2
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up TablesCode1
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-ResolutionCode1
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-ResolutionCode1
A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging—0
Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-ResolutionCode1
PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-ResolutionCode0
Transthoracic super-resolution ultrasound localisation microscopy of myocardial vasculature in patients—0
Human Guided Ground-truth Generation for Realistic Image Super-resolutionCode1
SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings—0
A High-Frequency Focused Network for Lightweight Single Image Super-Resolution—0
SVCNet: Scribble-based Video Colorization Network with Temporal AggregationCode1
CLADE: Cycle Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic Medical Images—0
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image RestorationCode1
Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers—0
Parameter-Free Channel Attention for Image Classification and Super-Resolution—0
Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild—0
Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images—0
Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-ResolutionCode1
SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-ResolutionCode2
Toward Super-Resolution for Appearance-Based Gaze Estimation—0
LSwinSR: UAV Imagery Super-Resolution based on Linear Swin TransformerCode1
Iterative Soft Shrinkage Learning for Efficient Image Super-ResolutionCode1
Depth Super-Resolution from Explicit and Implicit High-Frequency Features—0
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified