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 801–850 of 1589 papers

TitleStatusHype
Conditional Simulation Using Diffusion Schrödinger BridgesCode1
Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution PriorsCode2
Multi-image Super-resolution via Quality Map Associated Attention Network—0
Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-ResolutionCode1
Single Image Super-Resolution Methods: A Survey—0
Deep Constrained Least Squares for Blind Image Super-ResolutionCode2
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
Gradient Variance Loss for Structure-Enhanced Image Super-ResolutionCode1
Deep Networks for Image and Video Super-Resolution—0
Image Superresolution using Scale-Recurrent Dense Network—0
Revisiting RCAN: Improved Training for Image Super-ResolutionCode1
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super ResolutionCode0
Hyperspectral Image Super-resolution with Deep Priors and Degradation Model InversionCode1
A Review of Deep Learning Based Image Super-resolution Techniques—0
Robust Unpaired Single Image Super-Resolution of Faces—0
Improving Clinical Diagnosis Performance with Automated X-ray Scan Quality Enhancement Algorithms—0
Dual Perceptual Loss for Single Image Super-Resolution Using ESRGAN—0
CISRNet: Compressed Image Super-Resolution NetworkCode0
SDT-DCSCN for Simultaneous Super-Resolution and Deblurring of Text ImagesCode0
Flexible Style Image Super-Resolution using Conditional ObjectiveCode1
Efficient Non-Local Contrastive Attention for Image Super-ResolutionCode1
Uncovering the Over-smoothing Challenge in Image Super-Resolution: Entropy-based Quantification and Contrastive Optimization—0
3DVSR: 3D EPI Volume-based Approach for Angular and Spatial Light field Image Super-resolution—0
Detail-Preserving Transformer for Light Field Image Super-ResolutionCode1
Task Decoupled Framework for Reference-Based Super-Resolution—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
Learnable Lookup Table for Neural Network QuantizationCode1
Texture-Based Error Analysis for Image Super-Resolution—0
Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale LearningCode1
Astronomical Image Colorization and upscaling with Generative Adversarial Networks—0
DSRGAN: Detail Prior-Assisted Perceptual Single Image Super-Resolution via Generative Adversarial Networks—0
Reflash Dropout in Image Super-ResolutionCode1
Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution—0
On Efficient Transformer-Based Image Pre-training for Low-Level VisionCode1
A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net DiscriminatorsCode1
Feature Distillation Interaction Weighting Network for Lightweight Image Super-ResolutionCode1
Mitigating Channel-wise Noise for Single Image Super Resolution—0
Text Gestalt: Stroke-Aware Scene Text Image Super-ResolutionCode1
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
A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-ResolutionCode1
Physics Driven Deep Retinex Fusion for Adaptive Infrared and Visible Image FusionCode1
PP-MSVSR: Multi-Stage Video Super-ResolutionCode3
Uncertainty-Driven Loss for Single Image Super-Resolution—0
Aligned Structured Sparsity Learning for Efficient Image Super-ResolutionCode1
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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
8SwinFIRPSNR29.36—Unverified
9CPAT+PSNR29.36—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