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
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from FacesCode1
Learning from History: Task-agnostic Model Contrastive Learning for Image RestorationCode1
RGB-Guided Resolution Enhancement of IR Images—0
HAT: Hybrid Attention Transformer for Image RestorationCode3
Towards Real-World Burst Image Super-Resolution: Benchmark and MethodCode1
DiffBIR: Towards Blind Image Restoration with Generative Diffusion PriorCode4
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized StylizationCode3
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive SurveyCode2
SR-GAN for SR-gamma: super resolution of photon calorimeter images at collider experiments—0
CMISR: Circular Medical Image Super-Resolution—0
Dynamic Attention-Guided Diffusion for Image Super-Resolution—0
TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-ResolutionCode1
On Versatile Video Coding at UHD with Machine-Learning-Based Super-Resolution—0
Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment TechnologyCode0
Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-ResolutionCode1
A Benchmark for Chinese-English Scene Text Image Super-resolutionCode1
Dual Aggregation Transformer for Image Super-ResolutionCode2
Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-ResolutionCode1
HiREN: Towards Higher Supervision Quality for Better Scene Text Image Super-Resolution—0
Fully 11 Convolutional Network for Lightweight Image Super-ResolutionCode1
StarSRGAN: Improving Real-World Blind Super-ResolutionCode1
ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolutionCode1
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution NetworksCode0
ICF-SRSR: Invertible scale-Conditional Function for Self-Supervised Real-world Single Image Super-Resolution—0
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual ShiftingCode3
NLCUnet: Single-Image Super-Resolution Network with Hairline Details—0
On the Effectiveness of Spectral Discriminators for Perceptual Quality ImprovementCode1
PartDiff: Image Super-resolution with Partial Diffusion Models—0
Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network—0
Towards Robust Scene Text Image Super-resolution via Explicit Location EnhancementCode1
Soft-IntroVAE for Continuous Latent space Image Super-Resolution—0
A comparative analysis of SRGAN models—0
DARTS: Double Attention Reference-based Transformer for Super-resolutionCode1
Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-ResolutionCode1
MaxSR: Image Super-Resolution Using Improved MaxViT—0
DWA: Differential Wavelet Amplifier for Image Super-ResolutionCode0
Cross-Spatial Pixel Integration and Cross-Stage Feature Fusion Based Transformer Network for Remote Sensing Image Super-Resolution—0
Compound Attention and Neighbor Matching Network for Multi-contrast MRI Super-resolution—0
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution ModelsCode1
Spatio-Temporal Perception-Distortion Trade-off in Learned Video SRCode0
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution—0
WaveMixSR: A Resource-efficient Neural Network for Image Super-resolutionCode1
SPDER: Semiperiodic Damping-Enabled Object Representation—0
Semantic Segmentation Using Super Resolution Technique as Pre-Processing—0
Novel Hybrid-Learning Algorithms for Improved Millimeter-Wave Imaging SystemsCode0
Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling—0
HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models—0
Evaluating Loss Functions and Learning Data Pre-Processing for Climate Downscaling Deep Learning Models—0
Optical Coherence Tomography Image Enhancement via Block Hankelization and Low Rank Tensor Network Approximation—0
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
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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