Learning disentangling and fusing networks for face completion under structured occlusions
作者：
Highlights：
• Face completion and corruption are treated as disentangling and fusing processes of clean faces and occlusions.
• Presenting the disentangling network and fusing network for face completion and corruption under structured occlusions.
• Without requiring the paired face images for training, we unify the face completion and corruption into a dual learning framework.
• Experiments are performed to show the effectiveness of DF-GAN for the face completion under structured occlusions.
摘要
•Face completion and corruption are treated as disentangling and fusing processes of clean faces and occlusions.•Presenting the disentangling network and fusing network for face completion and corruption under structured occlusions.•Without requiring the paired face images for training, we unify the face completion and corruption into a dual learning framework.•Experiments are performed to show the effectiveness of DF-GAN for the face completion under structured occlusions.
论文关键词：
论文评审过程：Received 13 February 2019, Revised 30 July 2019, Accepted 27 September 2019, Available online 11 October 2019, Version of Record 17 October 2019.
论文官网地址：https://doi.org/10.1016/j.patcog.2019.107073
