SOTAVerified

Super-Resolution

Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.

( Credit: MemNet )

Papers

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Showing 851–875 of 3874 papers

TitleStatusHype
Memory-Efficient Hierarchical Neural Architecture Search for Image RestorationCode1
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrastCode1
DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution NetworksCode1
Neural Radiance Flow for 4D View Synthesis and Video ProcessingCode1
Zoom-to-Inpaint: Image Inpainting with High-Frequency DetailsCode1
KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local AdjustmentCode1
Improving the Fairness of Deep Generative Models without RetrainingCode1
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual NetworkCode1
Bayesian Image Reconstruction using Deep Generative ModelsCode1
Hierarchical Residual Attention Network for Single Image Super-ResolutionCode1
Learning Spatial Attention for Face Super-ResolutionCode1
Pre-Trained Image Processing TransformerCode1
DeFMO: Deblurring and Shape Recovery of Fast Moving ObjectsCode1
Fully Quantized Image Super-Resolution NetworksCode1
Rank-One Network: An Effective Framework for Image RestorationCode1
Robust super-resolution depth imaging via a multi-feature fusion deep networkCode1
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature LearningCode1
DynaVSR: Dynamic Adaptive Blind Video Super-ResolutionCode1
PAMS: Quantized Super-Resolution via Parameterized Max ScaleCode1
Symmetric Parallax Attention for Stereo Image Super-ResolutionCode1
Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfittingCode1
Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image RestorationCode1
Face Hallucination via Split-Attention in Split-Attention NetworkCode1
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS DataCode1
Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 NetworkCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified