Prof. Sunghoon Im, from the Department of Information & Communication Engineering, DGIST, developed an artificial intelligence(AI) neural network module that can separate and convert environmental information in the form of complex images using deep learning. The developed network is expected to significantly contribute to the future advancement in the field of AI, including image conversion and domain adaptation. Recently, deep learning, the basis of AI technology, has been increasingly advanced, and accordingly, deep learning research on image creation and conversion has been actively conducted. Conventional studies have focused on finding image information that is common in a domain, which is a set of images with multiple similar features. Thus, image information could not be properly used, limiting the performance of applicable data and models. Another limitation is that, because the image information used has a linearly simple structure, only one converted image can be obtained.