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 291–300 of 3874 papers

TitleStatusHype
A Benchmark for Chinese-English Scene Text Image Super-resolutionCode1
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-ResolutionCode1
DeblurSR: Event-Based Motion Deblurring Under the Spiking RepresentationCode1
Decoupled Data Consistency with Diffusion Purification for Image RestorationCode1
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC AlgorithmCode1
Deep Learning-based Face Super-Resolution: A SurveyCode1
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
DynaVSR: Dynamic Adaptive Blind Video Super-ResolutionCode1
CVAE-GAN: Fine-Grained Image Generation through Asymmetric TrainingCode1
Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV TrackingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified