Point2color: 3D Point Cloud Colorization Using a Conditional Generative Network and Differentiable Rendering for Airborne LiDAR
Published in CVPR 2021 Workshop EarthVision2021, 2021
Recommended citation: Shinohara, Takayuki, Haoyi Xiu, and Masashi Matsuoka. "Point2color: 3D Point Cloud Colorization Using a Conditional Generative Network and Differentiable Rendering for Airborne LiDAR." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021. https://openaccess.thecvf.com/content/CVPR2021W/EarthVision/html/Shinohara_Point2color_3D_Point_Cloud_Colorization_Using_a_Conditional_Generative_Network_CVPRW_2021_paper.html
This paper is about a novel Point Cloud colorization method for airborne lidar data, using deep learning method with conditional GAN and differentiable rendering.