The spatially-correlative loss for various image translation tasks

• المؤلفون الرئيسيون: Zheng, Chuanxia, Cham, Tat-Jen, Cai, Jianfei
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies::Pattern recognition; Spatially-correlative Loss; Translation Tasks
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/151225
• المؤسسة: 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...