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 14761500 of 3874 papers

TitleStatusHype
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 Imaging0
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 patients0
Human Guided Ground-truth Generation for Realistic Image Super-resolutionCode1
SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings0
A High-Frequency Focused Network for Lightweight Single Image Super-Resolution0
SVCNet: Scribble-based Video Colorization Network with Temporal AggregationCode1
CLADE: Cycle Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic Medical Images0
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image RestorationCode1
Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers0
Parameter-Free Channel Attention for Image Classification and Super-Resolution0
Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild0
Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images0
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 Estimation0
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 Features0
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified