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 1611–1620 of 3874 papers

TitleStatusHype
High-throughput, high-resolution registration-free generated adversarial network microscopyCode0
DeepCEL0 for 2D Single Molecule Localization in Fluorescence MicroscopyCode0
HiTSR: A Hierarchical Transformer for Reference-based Super-ResolutionCode0
HR-INR: Continuous Space-Time Video Super-Resolution via Event CameraCode0
High-Resolution GAN Inversion for Degraded Images in Large Diverse DatasetsCode0
High-Quality Face Image SR Using Conditional Generative Adversarial NetworksCode0
An Efficient Network Design for Face Video Super-resolutionCode0
DiTBN: Detail Injection-Based Two-Branch Network for Pansharpening of Remote Sensing ImagesCode0
High-Frequency Prior-Driven Adaptive Masking for Accelerating Image Super-ResolutionCode0
Distortion-aware super-resolution for planetary exploration imagesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified