The spatially-correlative loss for various image translation tasks

The spatially-correlative loss for various image translation tasks

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...

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Bibliographic Details
Main Authors: Zheng, Chuanxia, Cham, Tat-Jen, Cai, Jianfei
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
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

Internet

https://hdl.handle.net/10356/151225

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