Method and Device for Fast Adaptation through Meta-learning of Super Resolution Model

摘要

Disclosed is a method and apparatus for fast adaptation through meta-learning of super-resolution models. According to an aspect of the present invention, there is provided a method for learning a neural network implemented by a computer system, comprising: generating a low-resolution image and a medium-resolution image for each of a plurality of high-resolution sample images; generating a plurality of task networks corresponding to each low-resolution image by training a neural network to receive a low-resolution image and output a corresponding medium-resolution image for each low-resolution image; for each medium-resolution image, calculating a loss of a task network that receives a medium-resolution image and outputs a corresponding high-resolution sample image; and generating a meta-learned neural network by updating parameters of the neural network based on losses calculated from a plurality of task networks.