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 451–500 of 1589 papers

TitleStatusHype
EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale DatasetCode1
Edge-enhanced Feature Distillation Network for Efficient Super-ResolutionCode1
HST: Hierarchical Swin Transformer for Compressed Image Super-resolutionCode1
SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-ResolutionCode1
Fully Quantized Image Super-Resolution NetworksCode1
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
EDPN: Enhanced Deep Pyramid Network for Blurry Image RestorationCode1
Scene Text Image Super-Resolution in the WildCode1
Attaining Real-Time Super-Resolution for Microscopic Images Using GANCode1
GAN Prior based Null-Space Learning for Consistent Super-ResolutionCode1
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-ResolutionCode1
A Tree-guided CNN for image super-resolutionCode1
Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI ScansCode1
Ship in Sight: Diffusion Models for Ship-Image Super ResolutionCode1
Efficient and Degradation-Adaptive Network for Real-World Image Super-ResolutionCode1
Fully 11 Convolutional Network for Lightweight Image Super-ResolutionCode1
Gated Fusion Network for Degraded Image Super ResolutionCode1
Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar ImagingCode1
Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolutionCode1
Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and ReportCode1
Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-ResolutionCode1
A Systematic Survey of Deep Learning-based Single-Image Super-ResolutionCode1
Efficient Image Super-Resolution Using Pixel AttentionCode1
Efficient Image Super-Resolution using Vast-Receptive-Field AttentionCode1
Closed-loop Matters: Dual Regression Networks for Single Image Super-ResolutionCode1
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity EstimationCode1
A Spectral Diffusion Prior for Hyperspectral Image Super-ResolutionCode1
Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation TransformerCode1
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-ResolutionCode1
Frequency Domain-based Perceptual Loss for Super ResolutionCode1
Frequency Estimation Using Complex-Valued Shifted Window TransformerCode1
A Benchmark for Chinese-English Scene Text Image Super-resolutionCode1
From Face to Natural Image: Learning Real Degradation for Blind Image Super-ResolutionCode1
Efficient Non-Local Contrastive Attention for Image Super-ResolutionCode1
Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient ConvolutionCode1
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic ModelsCode1
Generative Adversarial Networks in Computer Vision: A Survey and TaxonomyCode1
Efficient scene text image super-resolution with semantic guidanceCode1
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Component Divide-and-Conquer for Real-World Image Super-ResolutionCode1
Stochastic Frequency Masking to Improve Super-Resolution and Denoising NetworksCode1
StructSR: Refuse Spurious Details in Real-World Image Super-ResolutionCode1
Structure-Preserving Image Super-ResolutionCode1
Structure-Preserving Super Resolution with Gradient GuidanceCode1
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolutionCode1
Transformer for Single Image Super-ResolutionCode1
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-ResolutionCode1
Conditional Hyper-Network for Blind Super-Resolution with Multiple DegradationsCode1
Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-ResolutionCode1
Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function SpaceCode1
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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