The spatially-correlative loss for various image translation tasks

• 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: 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Pattern recognition; Spatially-correlative Loss; Translation Tasks
• Online Access: https://hdl.handle.net/10356/151225
• Institution: Nanyang Technological University

We propose a novel spatially-correlative loss that is simple, efficient and yet effective for preserving scene structure consistency while supporting large appearance changes during unpaired image-to-image (I2I) translation. Previous methods attempt this by using pixel-level cycle-consistency or fea...