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 501–550 of 1589 papers

TitleStatusHype
Activating Wider Areas in Image Super-ResolutionCode1
VolFormer: Explore More Comprehensive Cube Interaction for Hyperspectral Image Restoration and BeyondCode1
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image RescalingCode1
A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net DiscriminatorsCode1
Heterogeneous Mixture of Experts for Remote Sensing Image Super-ResolutionCode1
Enhanced Semantic Extraction and Guidance for UGC Image Super ResolutionCode1
Enhanced Super-Resolution Training via Mimicked Alignment for Real-World ScenesCode1
Face Super-Resolution Using Stochastic Differential EquationsCode1
Hierarchical Neural Architecture Search for Single Image Super-ResolutionCode1
GRFormer: Grouped Residual Self-Attention for Lightweight Single Image Super-ResolutionCode1
Asymmetric CNN for image super-resolutionCode1
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain ConnectomesCode1
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-ResolutionCode1
Fast and Memory-Efficient Network Towards Efficient Image Super-ResolutionCode1
Hierarchical Residual Attention Network for Single Image Super-ResolutionCode1
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion ModelsCode1
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real WorldCode1
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GANCode1
Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function SpaceCode1
AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic ModelsCode1
Human Guided Ground-truth Generation for Realistic Image Super-resolutionCode1
ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionCode1
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolutionCode1
Image Super-Resolution with Deep DictionaryCode1
Joint Learning Content and Degradation Aware Feature for Blind Super-ResolutionCode1
ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial NetworkCode1
ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolutionCode1
Fairness for Image Generation with Uncertain Sensitive AttributesCode1
Hypernetworks build Implicit Neural Representations of SoundsCode1
Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual LearningCode1
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature LearningCode1
Hyperspectral Image Super Resolution with Real Unaligned RGB GuidanceCode1
Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-ResolutionCode1
Real-time 6K Image Rescaling with Rate-distortion OptimizationCode1
Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark DatasetCode1
Exploiting Raw Images for Real-Scene Super-ResolutionCode1
Exploiting Self-Supervised Constraints in Image Super-ResolutionCode1
A Tree-guided CNN for image super-resolutionCode1
Super-Resolution of BVOC Maps by Adapting Deep Learning Methods—0
Enhance the Image: Super Resolution using Artificial Intelligence in MRI—0
A super-resolution reconstruction method for lightweight building images based on an expanding feature modulation network—0
Content-adaptive Representation Learning for Fast Image Super-resolution—0
A Study in Dataset Pruning for Image Super-Resolution—0
GIMP-ML: Python Plugins for using Computer Vision Models in GIMP—0
ConsisSR: Delving Deep into Consistency in Diffusion-based Image Super-Resolution—0
Enhanced generative adversarial network for 3D brain MRI super-resolution—0
Con-Patch: When a Patch Meets its Context—0
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks—0
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks—0
Emerging Approaches for THz Array Imaging: A Tutorial Review and Software Tool—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
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