Adversarial Joint Image and Pose Distribution Learning for Camera Pose Regression and Refinement
arXiv: Computer Vision and Pattern Recognition, 2019.
EI
Abstract:
Despite recent advances on the topic of direct camera pose regression using neural networks, accurately estimating the camera pose of a single RGB image still remains a challenging task. To address this problem, we introduce a novel framework based, in its core, on the idea of modeling the joint distribution of RGB images and their corres...More
Code:
Data:
Tags
Comments