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 771–780 of 3874 papers

TitleStatusHype
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-ResolutionCode1
Forecasting Tropical Cyclones with Cascaded Diffusion ModelsCode1
Attention in Attention Network for Image Super-ResolutionCode1
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion ModelCode1
Burst Super-Resolution with Diffusion Models for Improving Perceptual QualityCode1
DeblurSR: Event-Based Motion Deblurring Under the Spiking RepresentationCode1
Attentive Fine-Grained Structured Sparsity for Image RestorationCode1
Frequency Domain-based Perceptual Loss for Super ResolutionCode1
Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and ReconstructionCode1
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified