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 16761700 of 3874 papers

TitleStatusHype
Global Learnable Attention for Single Image Super-ResolutionCode1
Super-resolution of positive near-colliding point sources0
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space ModelCode4
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution0
Knowledge Distillation based Degradation Estimation for Blind Super-ResolutionCode1
Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory0
ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging with Adaptive Threshold0
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-ResolutionCode1
FREDSR: Fourier Residual Efficient Diffusive GAN for Single Image Super Resolution0
Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantificationCode1
Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution0
A mathematical theory of super-resolution and two-point resolution0
Separation-Free Spectral Super-Resolution via Convex Optimization0
Synthetic Low-Field MRI Super-Resolution Via Nested U-Net Architecture0
What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems0
Meet-in-the-middle: Multi-scale upsampling and matching for cross-resolution face recognition0
Temporal Super-Resolution using Multi-Channel Illumination Source0
Interactive Image Manipulation with Complex Text Instructions0
Simulation-based parameter optimization for fetal brain MRI super-resolution reconstruction0
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image SynthesisCode1
Domain generalization in fetal brain MRI segmentation \ multi-reconstruction augmentation0
A mathematical theory of resolution limits for super-resolution of positive sources0
Perception-Oriented Single Image Super-Resolution using Optimal Objective EstimationCode1
GAN Prior based Null-Space Learning for Consistent Super-ResolutionCode1
Immersive Neural Graphics PrimitivesCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified