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 201–250 of 3874 papers

TitleStatusHype
Deep Space-Time Video Upsampling NetworksCode1
Deep Video Super-Resolution using HR Optical Flow EstimationCode1
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
Deep learning of multi-resolution X-Ray micro-CT images for multi-scale modellingCode1
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-ResolutionCode1
ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data FusionCode1
Deep Learning-based Face Super-Resolution: A SurveyCode1
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional FlowsCode1
Deep Image PriorCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
Deep Interleaved Network for Image Super-Resolution With Asymmetric Co-AttentionCode1
Deep Blind Video Super-resolutionCode1
DeepBedMap: Using a deep neural network to better resolve the bed topography of AntarcticaCode1
Deep Burst Super-ResolutionCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
Deep Adaptive Inference Networks for Single Image Super-ResolutionCode1
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance PursuitCode1
DeblurSR: Event-Based Motion Deblurring Under the Spiking RepresentationCode1
2DQuant: Low-bit Post-Training Quantization for Image Super-ResolutionCode1
Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and ReconstructionCode1
Accelerating Guided Diffusion Sampling with Splitting Numerical MethodsCode1
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-ResolutionCode1
Deep Audio Waveform PriorCode1
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
Decoupled Data Consistency with Diffusion Purification for Image RestorationCode1
Accelerating the Super-Resolution Convolutional Neural NetworkCode1
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable DiffusionCode1
Deep Learning-Based CKM Construction with Image Super-ResolutionCode1
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC AlgorithmCode1
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual NetworkCode1
Deep Blind Super-Resolution for Satellite VideoCode1
DeFMO: Deblurring and Shape Recovery of Fast Moving ObjectsCode1
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-ResolutionCode1
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark EstimationCode1
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-ResolutionCode1
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion ModelsCode1
Aligned Structured Sparsity Learning for Efficient Image Super-ResolutionCode1
Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face RecognitionCode1
Physics Driven Deep Retinex Fusion for Adaptive Infrared and Visible Image FusionCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS DataCode1
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
Deep Model-Based Super-Resolution with Non-uniform BlurCode1
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolutionCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-ResolutionCode1
Adaptive Patch Exiting for Scalable Single Image Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified