Using Domain Adaptation, Dataset with Synthetic Blurring is used, Outperforms Park CVPR’17
In this story, Deep Defocus Map Estimation using Domain Adaptation, DMENet, by POSTECH, Sungkyunkwan University, and DGIST, are reviewed. In this paper:
- A novel depth-of-field (DOF) dataset, SYNDOF, is produced where each image is synthetically blurred with a ground-truth depth map.
- As the feature characteristics of images in SYNDOF can differ from those of real defocused photos, domain adaptation is used to transfer the features of real defocused photos into those of synthetically blurred ones.
- DMENet consists of four subnetworks: blur estimation, domain adaptation, content preservation, and sharpness calibration networks. The subnetworks are connected to each other and jointly trained.
This is a paper in 2019 CVPR with so far 8 citations. (Sik-Ho Tsang @ Medium)