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Super-Resolution paper

Super-resolution imaging (SR) is a class of techniques that enhance (increase) the resolution of an imaging system. In optical SR the diffraction limit of systems is transcended, while in geometrical SR the resolution of digital imaging sensors is enhanced.

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Computer Vision

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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Image Super-Resolution Using Deep Convolutional Networks

SinGAN: Learning a Generative Model from a Single Natural Image

Enhanced Deep Residual Networks for Single Image Super-Resolution

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Deep Back-Projection Networks For Super-Resolution

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