SOTAVerified

Image Super-Resolution

Image Super-Resolution is a machine learning task where the goal is to increase the resolution of an image, often by a factor of 4x or more, while maintaining its content and details as much as possible. The end result is a high-resolution version of the original image. This task can be used for various applications such as improving image quality, enhancing visual detail, and increasing the accuracy of computer vision algorithms.

Papers

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Showing 251–300 of 1589 papers

TitleStatusHype
A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net DiscriminatorsCode1
L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B ImageryCode1
Large Kernel Distillation Network for Efficient Single Image Super-ResolutionCode1
Learnable Lookup Table for Neural Network QuantizationCode1
Accurate Image Restoration with Attention Retractable TransformerCode1
Best-Buddy GANs for Highly Detailed Image Super-ResolutionCode1
Deep Unfolding Network for Image Super-ResolutionCode1
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
Hierarchical Residual Attention Network for Single Image Super-ResolutionCode1
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
Bayesian Image Reconstruction using Deep Generative ModelsCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
HiFaceGAN: Face Renovation via Collaborative Suppression and ReplenishmentCode1
How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale ApproachCode1
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural NetworksCode1
BAM: A Balanced Attention Mechanism for Single Image Super ResolutionCode1
Deep Model-Based Super-Resolution with Non-uniform BlurCode1
Heterogeneous Mixture of Experts for Remote Sensing Image Super-ResolutionCode1
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GANCode1
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image RescalingCode1
GRFormer: Grouped Residual Self-Attention for Lightweight Single Image Super-ResolutionCode1
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolutionCode1
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain ConnectomesCode1
Deep Learning-Based CKM Construction with Image Super-ResolutionCode1
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-ResolutionCode1
Adaptive Convolutional Neural Network for Image Super-resolutionCode1
Deep Learning-based Face Super-Resolution: A SurveyCode1
Hierarchical Neural Architecture Search for Single Image Super-ResolutionCode1
HSRMamba: Contextual Spatial-Spectral State Space Model for Single Image Hyperspectral Super-ResolutionCode1
GAN Prior based Null-Space Learning for Consistent Super-ResolutionCode1
Gated Fusion Network for Degraded Image Super ResolutionCode1
Cross-View Hierarchy Network for Stereo Image Super-ResolutionCode1
Deep Interleaved Network for Image Super-Resolution With Asymmetric Co-AttentionCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
Generative Adversarial Networks in Computer Vision: A Survey and TaxonomyCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-ResolutionCode1
A heterogeneous group CNN for image super-resolutionCode1
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS DataCode1
Global Learnable Attention for Single Image Super-ResolutionCode1
Gradient Variance Loss for Structure-Enhanced Image Super-ResolutionCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and BeyondCode1
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-ResolutionCode1
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-ResolutionCode1
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
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All datasetsSet14 - 4x upscalingBSD100 - 4x upscalingUrban100 - 4x upscalingManga109 - 4x upscalingSet5 - 2x upscalingSet14 - 2x upscalingSet5 - 3x upscalingBSD100 - 2x upscalingUrban100 - 2x upscalingSet14 - 3x upscalingUrban100 - 3x upscalingBSD100 - 3x upscaling

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DRCT-LPSNR29.54—Unverified
2HMA†PSNR29.51—Unverified
3Hi-IR-LPSNR29.49—Unverified
4HAT-LPSNR29.47—Unverified
5HAT_FIRPSNR29.44—Unverified
6DRCTPSNR29.4—Unverified
7HATPSNR29.38—Unverified
8CPAT+PSNR29.36—Unverified
9SwinFIRPSNR29.36—Unverified
10CPATPSNR29.34—Unverified
#ModelMetricClaimedVerifiedStatus
1DRCT-LPSNR28.16—Unverified
2HMA†PSNR28.13—Unverified
3Hi-IR-LPSNR28.13—Unverified
4HAT-LPSNR28.09—Unverified
5HAT_FIRPSNR28.07—Unverified
6CPAT+PSNR28.06—Unverified
7DRCTPSNR28.06—Unverified
8HATPSNR28.05—Unverified
9CPATPSNR28.04—Unverified
10SwinFIRPSNR28.03—Unverified
#ModelMetricClaimedVerifiedStatus
1Hi-IR-LPSNR28.72—Unverified
2DRCT-LPSNR28.7—Unverified
3HMA†PSNR28.69—Unverified
4HAT-LPSNR28.6—Unverified
5HAT_FIRPSNR28.43—Unverified
6DRCTPSNR28.4—Unverified
7HATPSNR28.37—Unverified
8CPAT+PSNR28.33—Unverified
9CPATPSNR28.22—Unverified
10PFTPSNR28.2—Unverified