computer-vision-13
Super-Resolution
3260 papers • 126 benchmarks • 313 datasets
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 )
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in super-resolution-26
Trend
Dataset
Best Model
Actions
No benchmarks available.
Libraries
iUse these libraries to find super-resolution-26 models and implementations
