Abstract: A processor-implemented method includes generating an adjusted reference patch by adjusting a position of a reference patch in a reference image based on a pixel value of a ground truth (GT) patch of a GT image and a pixel value of the reference patch, wherein the GT patch corresponds to a specific region of an input image; generating a super-resolution (SR) image of the input image using a SR model provided an input that is based on the generated adjusted reference patch; and training the SR model based on the SR image and the GT image.

Abstract: Systems and methods for super-resolution (SR) are described. The SR method includes determining a direction type of an input image based on a gradient of the input image, obtaining a first intermediate image based on the direction type using a look-up table (LUT) that stores an SR operation result of a pixel value combination corresponding to a kernel set mapped to the determined direction type, wherein the first intermediate image is an SR image corresponding to the input image, applying SR interpolation to the input image to obtain a baseline image, and obtaining an output image based on the first intermediate image and the baseline image.

Abstract: A method, apparatus, and medium for correcting a pose of a moving robot are provided. The method includes sensing an entrance using a distance-sensing sensor mounted on the moving robot, storing first distance data of the sensed entrance, after the moving robot travels, newly sensing the entrance using the distance-sensing sensor, and correcting the pose of the moving robot using the first distance data and second distance data corresponding to the entrance newly sensed after the moving robot travels.

Abstract: A method, apparatus, and medium for correcting a pose of a moving robot are provided. The method includes sensing an entrance using a distance-sensing sensor mounted on the moving robot, storing first distance data of the sensed entrance, after the moving robot travels, newly sensing the entrance using the distance-sensing sensor, and correcting the pose of the moving robot using the first distance data and second distance data corresponding to the entrance newly sensed after the moving robot travels.