Pluralistic image completion

• Main Authors: Zheng, Chuanxia, Cham, Tat-Jen, Cai, Jianfei
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Computer Vision; Image Reconstruction
• Online Access: https://hdl.handle.net/10356/138481
• Institution: Nanyang Technological University

Most image completion methods produce only one result for each masked input, although there may be many reasonable possibilities. In this paper, we present an approach for pluralistic image completion - the task of generating multiple and diverse plausible solutions for image completion. A major cha...