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 101–150 of 1589 papers

TitleStatusHype
Efficient Long-Range Attention Network for Image Super-resolutionCode2
Effective Diffusion Transformer Architecture for Image Super-ResolutionCode2
AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-ResolutionCode2
Efficient and Explicit Modelling of Image Hierarchies for Image RestorationCode2
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image GenerationCode2
Auto-Encoded Supervision for Perceptual Image Super-ResolutionCode2
Improving the Stability and Efficiency of Diffusion Models for Content Consistent Super-ResolutionCode2
Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-ResolutionCode2
A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net DiscriminatorsCode1
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and BeyondCode1
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
A Benchmark for Chinese-English Scene Text Image Super-resolutionCode1
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-ResolutionCode1
Discovering Distinctive "Semantics" in Super-Resolution NetworksCode1
A Spectral Diffusion Prior for Hyperspectral Image Super-ResolutionCode1
Cross-Scope Spatial-Spectral Information Aggregation for Hyperspectral Image Super-ResolutionCode1
Cross-receptive Focused Inference Network for Lightweight Image Super-ResolutionCode1
Cross-Scale Internal Graph Neural Network for Image Super-ResolutionCode1
A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-ResolutionCode1
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-ResolutionCode1
AeroRIT: A New Scene for Hyperspectral Image AnalysisCode1
Activating Wider Areas in Image Super-ResolutionCode1
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-ResolutionCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
ARM: Any-Time Super-Resolution MethodCode1
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsCode1
Creating High Resolution Images with a Latent Adversarial GeneratorCode1
Cross-View Hierarchy Network for Stereo Image Super-ResolutionCode1
DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-ResolutionCode1
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function SpaceCode1
Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-ResolutionCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
Conditional Simulation Using Diffusion Schrödinger BridgesCode1
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real WorldCode1
Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI ScansCode1
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstructionCode1
A Practical Contrastive Learning Framework for Single-Image Super-ResolutionCode1
Conditional Hyper-Network for Blind Super-Resolution with Multiple DegradationsCode1
Combining Attention Module and Pixel Shuffle for License Plate Super-ResolutionCode1
DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution NetworksCode1
Collapsible Linear Blocks for Super-Efficient Super ResolutionCode1
Component Divide-and-Conquer for Real-World Image Super-ResolutionCode1
CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-ResolutionCode1
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution ModelsCode1
A new public Alsat-2B dataset for single-image super-resolutionCode1
A New Dataset and Transformer for Stereoscopic Video 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