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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 1589 papers

TitleStatusHype
DARTS: Double Attention Reference-based Transformer for Super-resolutionCode1
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural NetworksCode1
Dual-Stage Approach Toward Hyperspectral Image Super-ResolutionCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-ResolutionCode1
Real-time 6K Image Rescaling with Rate-distortion OptimizationCode1
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-ResolutionCode1
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-ResolutionCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
Discovering Distinctive "Semantics" in Super-Resolution NetworksCode1
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable DiffusionCode1
Deep Adaptive Inference Networks for Single Image Super-ResolutionCode1
Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance PursuitCode1
Best-Buddy GANs for Highly Detailed Image Super-ResolutionCode1
EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale DatasetCode1
Accurate Image Restoration with Attention Retractable TransformerCode1
Image Super-Resolution with Deep DictionaryCode1
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-ResolutionCode1
Adaptive Convolutional Neural Network for Image Super-resolutionCode1
Image Restoration Through Generalized Ornstein-Uhlenbeck BridgeCode1
Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical NaturalnessCode1
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-ResolutionCode1
Implicit Grid Convolution for Multi-Scale Image Super-ResolutionCode1
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsCode1
Efficient and Degradation-Adaptive Network for Real-World Image Super-ResolutionCode1
Cross-View Hierarchy Network for Stereo Image Super-ResolutionCode1
Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and ReportCode1
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-ResolutionCode1
Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolutionCode1
Diffusion-based Blind Text Image Super-ResolutionCode1
Deep Interleaved Network for Image Super-Resolution With Asymmetric Co-AttentionCode1
Hyperspectral Image Super-Resolution via Deep Prior Regularization with Parameter EstimationCode1
Infrared Image Super-Resolution via Transfer Learning and PSRGANCode1
Aligned Structured Sparsity Learning for Efficient Image Super-ResolutionCode1
Efficient Non-Local Contrastive Attention for Image Super-ResolutionCode1
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
Cross-Scope Spatial-Spectral Information Aggregation for Hyperspectral Image Super-ResolutionCode1
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolutionCode1
iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networksCode1
Deep Learning-Based CKM Construction with Image Super-ResolutionCode1
Deep Learning-based Face Super-Resolution: A SurveyCode1
Accelerating the Super-Resolution Convolutional Neural NetworkCode1
Cross-Scale Internal Graph Neural Network for Image Super-ResolutionCode1
Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale LearningCode1
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS DataCode1
Transformer for Single Image Super-ResolutionCode1
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-ResolutionCode1
L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B ImageryCode1
Cross-receptive Focused Inference Network for Lightweight Image Super-ResolutionCode1
Show:102550
← PrevPage 7 of 32Next →
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