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 31–40 of 3874 papers

TitleStatusHype
Blind Image Restoration via Fast Diffusion InversionCode3
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic ModelCode3
Panacea+: Panoramic and Controllable Video Generation for Autonomous DrivingCode3
BasicVSR: The Search for Essential Components in Video Super-Resolution and BeyondCode3
General Geospatial Inference with a Population Dynamics Foundation ModelCode3
AudioSR: Versatile Audio Super-resolution at ScaleCode3
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and AlignmentCode3
Activating More Pixels in Image Super-Resolution TransformerCode3
ESRGAN: Enhanced Super-Resolution Generative Adversarial NetworksCode3
Event-Enhanced Blurry Video Super-ResolutionCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified