IMAGE INPAINTING USING MACHINE LEARNING

This project features a user-friendly method for person remover from images where the user has control of which object to remove. Our system removes only one object i.e person. However, it is capable of removing multiple persons through repeated application. Our model learns to detect the person in an image using the yolo algorithm. Then, the second stage removes the person in the image and fills the space with neighbouring pixels using the pix2pix concept. We show that by using this integration, the proposed network can learn a well-incorporated structure and also overcome the problem of visual discrepancies in the affected region of the image.