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 501–550 of 1589 papers

TitleStatusHype
TransMRSR: Transformer-based Self-Distilled Generative Prior for Brain MRI Super-ResolutionCode1
Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration—0
A Unified Framework to Super-Resolve Face Images of Varied Low Resolutions—0
EfficientSRFace: An Efficient Network with Super-Resolution Enhancement for Accurate Face Detection—0
Scale Guided Hypernetwork for Blind Super-Resolution Image Quality AssessmentCode0
ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes—0
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-ResolutionCode1
Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and ReportCode1
Towards Real-Time 4K Image Super-ResolutionCode1
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models—0
Physics-Informed Ensemble Representation for Light-Field Image Super-ResolutionCode0
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images—0
Convolutional neural network based on sparse graph attention mechanism for MRI super-resolution—0
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution—0
Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution LayersCode1
Learning from Multi-Perception Features for Real-Word Image Super-resolution—0
High-Similarity-Pass Attention for Single Image Super-Resolution—0
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution—0
A Dive into SAM Prior in Image Restoration—0
Multi-BVOC Super-Resolution Exploiting Compounds Inter-Connection—0
Generalized Expectation Maximization Framework for Blind Image Super Resolution—0
Efficient Mixed Transformer for Single Image Super-ResolutionCode2
Exploiting Diffusion Prior for Real-World Image Super-ResolutionCode4
Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution—0
Deep Learning and Image Super-Resolution-Guided Beam and Power Allocation for mmWave Networks—0
Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar ImagingCode1
Bicubic++: Slim, Slimmer, Slimmest -- Designing an Industry-Grade Super-Resolution NetworkCode2
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-ResolutionCode1
Super-NeRF: View-consistent Detail Generation for NeRF super-resolution—0
OPDN: Omnidirectional Position-aware Deformable Network for Omnidirectional Image Super-Resolution—0
SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge—0
Ultra Sharp : Study of Single Image Super Resolution using Residual Dense NetworkCode0
Omni Aggregation Networks for Lightweight Image Super-ResolutionCode2
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and ResultsCode1
Quantum Annealing for Single Image Super-Resolution—0
DIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolution—0
L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B ImageryCode1
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
Cross-View Hierarchy Network for Stereo Image Super-ResolutionCode1
Hyperspectral Image Super-Resolution via Dual-domain Network Based on Hybrid Convolution—0
Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement—0
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-ResolutionCode1
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-ResolutionCode1
Real-time 6K Image Rescaling with Rate-distortion OptimizationCode1
Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation TransformerCode1
Image-to-image domain adaptation for vehicle re-identification—0
Dual Circle Contrastive Learning-Based Blind Image Super-Resolution—0
Operational Neural Networks for Parameter-Efficient Hyperspectral Single-Image Super-ResolutionCode0
Random Weights Networks Work as Loss Prior Constraint for Image Restoration—0
Implicit Diffusion Models for Continuous Super-ResolutionCode2
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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