Fig. 1 (IMAGE) Osaka University Caption Overview of the proposed method. An image of the current landscape is acquired by the mobile terminal and sent to the server PC. The server detects the target building and generates a mask. The area to be complemented is set from the mask image, and the input image is automatically altered based on the features around the target area. The output image based on the digital completion is sent to the mobile terminal as a future landscape after demolition to be displayed on the DR display. Credit 2022 Takuya Kikuchi et al., Diminished reality using semantic segmentation and generative adversarial network for landscape assessment: Evaluation of image inpainting according to colour vision, Journal of Computational Design and Engineering Usage Restrictions Credit must be given to the creator. License CC BY Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.