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 351–400 of 1589 papers

TitleStatusHype
Learnable Lookup Table for Neural Network QuantizationCode1
Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale LearningCode1
Reflash Dropout in Image Super-ResolutionCode1
A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net DiscriminatorsCode1
On Efficient Transformer-Based Image Pre-training for Low-Level VisionCode1
Feature Distillation Interaction Weighting Network for Lightweight Image Super-ResolutionCode1
Text Gestalt: Stroke-Aware Scene Text Image Super-ResolutionCode1
A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-ResolutionCode1
Physics Driven Deep Retinex Fusion for Adaptive Infrared and Visible Image FusionCode1
Aligned Structured Sparsity Learning for Efficient Image Super-ResolutionCode1
SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-ResolutionCode1
A Practical Contrastive Learning Framework for Single-Image Super-ResolutionCode1
AdaDM: Enabling Normalization for Image Super-ResolutionCode1
Local Texture Estimator for Implicit Representation FunctionCode1
Image-specific Convolutional Kernel Modulation for Single Image Super-resolutionCode1
Pansharpening by convolutional neural networks in the full resolution frameworkCode1
Scale-Aware Dynamic Network for Continuous-Scale Super-ResolutionCode1
An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural RepresentationCode1
Improving Super-Resolution Performance using Meta-Attention LayersCode1
ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionCode1
EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale DatasetCode1
A Systematic Survey of Deep Learning-based Single-Image Super-ResolutionCode1
Structure-Preserving Image Super-ResolutionCode1
Exploring Separable Attention for Multi-Contrast MR Image Super-ResolutionCode1
Transformer for Single Image Super-ResolutionCode1
edge-SR: Super-Resolution For The MassesCode1
Light Field Image Super-Resolution with TransformersCode1
spectrai: A deep learning framework for spectral dataCode1
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-ResolutionCode1
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image RescalingCode1
Discovering Distinctive "Semantics" in Super-Resolution NetworksCode1
Fourier Series Expansion Based Filter Parametrization for Equivariant ConvolutionsCode1
Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual ReconstructionCode1
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and KernelCode1
Text Prior Guided Scene Text Image Super-resolutionCode1
Fairness for Image Generation with Uncertain Sensitive AttributesCode1
One-to-many Approach for Improving Super-ResolutionCode1
Image Super-Resolution With Non-Local Sparse AttentionCode1
Practical Single-Image Super-Resolution Using Look-Up TableCode1
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV MinimizationCode1
Task Transformer Network for Joint MRI Reconstruction and Super-ResolutionCode1
Variational AutoEncoder for Reference based Image Super-ResolutionCode1
MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-ResolutionCode1
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity EstimationCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
Permutation invariance and uncertainty in multitemporal image super-resolutionCode1
Towards Compact Single Image Super-Resolution via Contrastive Self-distillationCode1
MIASSR: An Approach for Medical Image Arbitrary Scale Super-ResolutionCode1
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile DevicesCode1
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and BeyondCode1
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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