1 code implementation • 13 Dec 2022 • Qinghe Wang, Lijie Liu, Miao Hua, Pengfei Zhu, WangMeng Zuo, QinGhua Hu, Huchuan Lu, Bing Cao
We blend the semantic layouts of source head and source body, and then inpaint the transition region by the semantic layout generator, achieving a coarse-grained head swapping.
1 code implementation • 22 Sep 2021 • Miao Hua, Lijie Liu, Ziyang Cheng, Qian He, Bingchuan Li, Zili Yi
Whereas, this technique does not satisfy the requirements of facial parts removal, as it is hard to obtain ``ground-truth'' images with real ``blank'' faces.
no code implementations • ECCV 2020 • Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, Jie zhou, Qi Tian
Monocular 3D object detection aims to extract the 3D position and properties of objects from a 2D input image.
Ranked #16 on
Vehicle Pose Estimation
on KITTI Cars Hard
no code implementations • CVPR 2019 • Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie zhou
In this paper, we propose to learn a deep fitting degree scoring network for monocular 3D object detection, which aims to score fitting degree between proposals and object conclusively.
Ranked #7 on
Vehicle Pose Estimation
on KITTI Cars Hard