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 751–760 of 3874 papers

TitleStatusHype
Activating Wider Areas in Image Super-ResolutionCode1
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and BeyondCode1
Deep Blind Super-Resolution for Satellite VideoCode1
Fast Generation of High Fidelity RGB-D Images by Deep-Learning with Adaptive ConvolutionCode1
Fast Nearest Convolution for Real-Time Efficient Image Super-ResolutionCode1
Fast Neural Representations for Direct Volume RenderingCode1
A New Dataset and Transformer for Stereoscopic Video Super-ResolutionCode1
DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution NetworksCode1
DARTS: Double Attention Reference-based Transformer for Super-resolutionCode1
Deep Blind Video Super-resolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified