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 751–800 of 1589 papers

TitleStatusHype
Image Reconstruction of Multi Branch Feature Multiplexing Fusion Network with Mixed Multi-layer Attention—0
Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality AssessmentCode0
Cross-domain heterogeneous residual network for single image super-resolutionCode0
Diverse super-resolution with pretrained deep hiererarchical VAEs—0
A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling—0
Semantically Accurate Super-Resolution Generative Adversarial Networks—0
Residual Local Feature Network for Efficient Super-ResolutionCode1
Blueprint Separable Residual Network for Efficient Image Super-ResolutionCode1
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and ResultsCode1
Activating More Pixels in Image Super-Resolution TransformerCode3
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-ResolutionCode1
Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution with Subpixel FusionCode2
SPQE: Structure-and-Perception-Based Quality Evaluation for Image Super-Resolution—0
C3-STISR: Scene Text Image Super-resolution with Triple CluesCode1
Generative Adversarial Networks for Image Super-Resolution: A Survey—0
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive TransformerCode1
IMDeception: Grouped Information Distilling Super-Resolution Network—0
Deep Model-Based Super-Resolution with Non-uniform BlurCode1
A New Dataset and Transformer for Stereoscopic Video Super-ResolutionCode1
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results—0
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-ResolutionCode1
NAFSSR: Stereo Image Super-Resolution Using NAFNetCode4
Edge-enhanced Feature Distillation Network for Efficient Super-ResolutionCode1
Self-Calibrated Efficient Transformer for Lightweight Super-ResolutionCode1
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and BeyondCode1
Fast and Memory-Efficient Network Towards Efficient Image Super-ResolutionCode1
GHM Wavelet Transform for Deep Image Super Resolution—0
Dual-Stage Approach Toward Hyperspectral Image Super-ResolutionCode1
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-ResolutionCode1
Super-resolved multi-temporal segmentation with deep permutation-invariant networks—0
Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution—0
Single Image Internal Distribution Measurement Using Non-Local Variational Autoencoder—0
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
Cross-Modality High-Frequency Transformer for MR Image Super-Resolution—0
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars—0
Efficient and Degradation-Adaptive Network for Real-World Image Super-ResolutionCode1
Adaptive Patch Exiting for Scalable Single Image Super-ResolutionCode1
ARM: Any-Time Super-Resolution MethodCode1
HIPA: Hierarchical Patch Transformer for Single Image Super Resolution—0
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolutionCode1
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-ResolutionCode2
Image Super-Resolution With Deep Variational Autoencoders—0
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-ResolutionCode1
GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors—0
Efficient Long-Range Attention Network for Image Super-resolutionCode2
Unfolded Deep Kernel Estimation for Blind Image Super-resolutionCode1
Learning the Degradation Distribution for Blind Image Super-ResolutionCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Fast Neural Architecture Search for Lightweight Dense Prediction Networks—0
Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence—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