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 1001–1050 of 1589 papers

TitleStatusHype
Cross-Modality High-Frequency Transformer for MR Image Super-Resolution—0
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars—0
HIPA: Hierarchical Patch Transformer for Single Image Super Resolution—0
Image Super-Resolution With Deep Variational Autoencoders—0
GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors—0
Fast Neural Architecture Search for Lightweight Dense Prediction Networks—0
Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence—0
Multi-image Super-resolution via Quality Map Associated Attention Network—0
Single Image Super-Resolution Methods: A Survey—0
Memory-augmented Deep Unfolding Network for Guided Image Super-resolution—0
Trained Model in Supervised Deep Learning is a Conditional Risk MinimizerCode0
Patch-Based Stochastic Attention for Image EditingCode0
An Optimal Transport Perspective on Unpaired Image Super-Resolution—0
Image Superresolution using Scale-Recurrent Dense Network—0
Deep Networks for Image and Video Super-Resolution—0
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super ResolutionCode0
Robust Unpaired Single Image Super-Resolution of Faces—0
A Review of Deep Learning Based Image Super-resolution Techniques—0
Dual Perceptual Loss for Single Image Super-Resolution Using ESRGAN—0
Improving Clinical Diagnosis Performance with Automated X-ray Scan Quality Enhancement Algorithms—0
CISRNet: Compressed Image Super-Resolution NetworkCode0
SDT-DCSCN for Simultaneous Super-Resolution and Deblurring of Text ImagesCode0
3DVSR: 3D EPI Volume-based Approach for Angular and Spatial Light field Image Super-resolution—0
Uncovering the Over-smoothing Challenge in Image Super-Resolution: Entropy-based Quantification and Contrastive Optimization—0
SphereSR: 360deg Image Super-Resolution With Arbitrary Projection via Continuous Spherical Image Representation—0
LAR-SR: A Local Autoregressive Model for Image Super-ResolutionCode0
Learning To Zoom Inside Camera Imaging Pipeline—0
Task Decoupled Framework for Reference-Based Super-Resolution—0
Texture-Based Error Analysis for Image Super-Resolution—0
Astronomical Image Colorization and upscaling with Generative Adversarial Networks—0
DSRGAN: Detail Prior-Assisted Perceptual Single Image Super-Resolution via Generative Adversarial Networks—0
Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution—0
Mitigating Channel-wise Noise for Single Image Super Resolution—0
SphereSR: 360° Image Super-Resolution with Arbitrary Projection via Continuous Spherical Image Representation—0
Enhancing Multi-Scale Implicit Learning in Image Super-Resolution with Integrated Positional Encoding—0
Uncertainty-Driven Loss for Single Image Super-Resolution—0
SwiftSRGAN -- Rethinking Super-Resolution for Efficient and Real-time Inference—0
Performance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reduction—0
Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution—0
A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective—0
Local-Selective Feature Distillation for Single Image Super-Resolution—0
FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform—0
Image Super-Resolution Using T-Tetromino Pixels—0
A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution—0
GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention—0
Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution—0
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation—0
Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art—0
Localized Super Resolution for Foreground Images using U-Net and MR-CNNCode0
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural NetworkCode0
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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