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 1211–1220 of 3874 papers

TitleStatusHype
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face HallucinationCode0
Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow ModelsCode0
Medical Image Imputation from Image CollectionsCode0
DeepCEL0 for 2D Single Molecule Localization in Fluorescence MicroscopyCode0
Deep Burst DenoisingCode0
Adaptation of the super resolution SOTA for Art Restoration in camera capture imagesCode0
MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-ResolutionCode0
A Unified Neural Architecture for Instrumental Audio TasksCode0
Deep Bi-Dense Networks for Image Super-ResolutionCode0
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and ResultsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified