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 801–825 of 3874 papers

TitleStatusHype
High-throughput molecular imaging via deep learning enabled Raman spectroscopyCode1
Deep Blind Super-Resolution for Satellite VideoCode1
A New Dataset and Framework for Real-World Blurred Images Super-ResolutionCode1
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical FlowCode1
Deep Burst Super-ResolutionCode1
LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion ModelCode1
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
Deep Model-Based Super-Resolution with Non-uniform BlurCode1
Learnable Lookup Table for Neural Network QuantizationCode1
Learn from Unpaired Data for Image Restoration: A Variational Bayes ApproachCode1
AutoGAN-Distiller: Searching to Compress Generative Adversarial NetworksCode1
Large Kernel Distillation Network for Efficient Single Image Super-ResolutionCode1
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and BeyondCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
Hierarchical Neural Architecture Search for Single Image Super-ResolutionCode1
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image RescalingCode1
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark EstimationCode1
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstructionCode1
Burst Image Restoration and EnhancementCode1
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS DataCode1
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-ResolutionCode1
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-ResolutionCode1
Label-Efficient Semantic Segmentation with Diffusion ModelsCode1
Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion ModelsCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
Show:102550
← PrevPage 33 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified