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 251–300 of 1589 papers

TitleStatusHype
Multi-Scale Feature Fusion using Channel Transformers for Guided Thermal Image Super Resolution—0
LFMamba: Light Field Image Super-Resolution with State Space Model—0
A Dictionary Based Approach for Removing Out-of-Focus BlurCode0
Geometric Distortion Guided Transformer for Omnidirectional Image Super-Resolution—0
SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models—0
SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-ResolutionCode1
Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo SimulationCode1
DDR: Exploiting Deep Degradation Response as Flexible Image DescriptorCode0
One-Step Effective Diffusion Network for Real-World Image Super-ResolutionCode4
Towards Realistic Data Generation for Real-World Super-Resolution—0
2DQuant: Low-bit Post-Training Quantization for Image Super-ResolutionCode1
Binarized Diffusion Model for Image Super-ResolutionCode2
Arctic Sea Ice Image Super-Resolution Based on Multi-Scale Convolution and Dual-Gating Mechanism—0
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play PriorsCode1
Single image super-resolution based on trainable feature matching attention networkCode0
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-ResolutionCode1
Does Diffusion Beat GAN in Image Super Resolution?Code1
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models—0
BOLD: Boolean Logic Deep Learning—0
Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution—0
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image GenerationCode2
Perceptual Fairness in Image Restoration—0
Infrared Image Super-Resolution via Lightweight Information Split Network—0
Frequency-Domain Refinement with Multiscale Diffusion for Super Resolution—0
IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation ModelCode2
Perception- and Fidelity-aware Reduced-Reference Super-Resolution Image Quality Assessment—0
Large coordinate kernel attention network for lightweight image super-resolution—0
NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-ResolutionCode0
Exploring the Low-Pass Filtering Behavior in Image Super-ResolutionCode1
CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-ResolutionCode2
Semantic Guided Large Scale Factor Remote Sensing Image Super-resolution with Generative Diffusion PriorCode1
Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient ConvolutionCode1
Multi-Level Feature Fusion Network for Lightweight Stereo Image Super-ResolutionCode0
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-ResolutionCode2
Frequency-Assisted Mamba for Remote Sensing Image Super-ResolutionCode2
An Advanced Features Extraction Module for Remote Sensing Image Super-Resolution—0
DVMSR: Distillated Vision Mamba for Efficient Super-ResolutionCode2
Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image RestorationCode2
Single Image Super-Resolution Based on Global-Local Information Synergy—0
Detail-Enhancing Framework for Reference-Based Image Super-Resolution—0
Swin2-MoSE: A New Single Image Super-Resolution Model for Remote SensingCode1
Federated Learning for Blind Image Super-Resolution—0
Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge SurveyCode3
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimationCode0
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge SurveyCode0
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-ResolutionCode2
A Survey on Visual MambaCode4
SwinFuSR: an image fusion-inspired model for RGB-guided thermal image super-resolutionCode2
SEGSRNet for Stereo-Endoscopic Image Super-Resolution and Surgical Instrument Segmentation—0
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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