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 411–420 of 3874 papers

TitleStatusHype
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable DiffusionCode1
End-to-end Alternating Optimization for Real-World Blind Super ResolutionCode1
Enhanced Deep Residual Networks for Single Image Super-ResolutionCode1
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV MinimizationCode1
Azimuth Super-Resolution for FMCW Radar in Autonomous DrivingCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Deep Adaptive Inference Networks for Single Image Super-ResolutionCode1
Enhancing Space-time Video Super-resolution via Spatial-temporal Feature InteractionCode1
Deep Blind Video Super-resolutionCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified