论文标题
绿洲：野外单图3D的大规模数据集
OASIS: A Large-Scale Dataset for Single Image 3D in the Wild
论文作者
论文摘要
单视图3D是从单个图像中恢复3D属性（例如深度和表面正态）的任务。我们假设单位图3D的主要障碍是数据。我们通过介绍单图表（OASIS）的开放注释来解决此问题，这是一种野外单位图3D的数据集，该数据集由140,000张图像的详细3D几何学的注释组成。我们在各种单像3D任务上训练和评估领先模型。我们希望绿洲成为3D视觉研究的有用资源。项目网站：https：//pvl.cs.princeton.edu/oasis。
Single-view 3D is the task of recovering 3D properties such as depth and surface normals from a single image. We hypothesize that a major obstacle to single-image 3D is data. We address this issue by presenting Open Annotations of Single Image Surfaces (OASIS), a dataset for single-image 3D in the wild consisting of annotations of detailed 3D geometry for 140,000 images. We train and evaluate leading models on a variety of single-image 3D tasks. We expect OASIS to be a useful resource for 3D vision research. Project site: https://pvl.cs.princeton.edu/OASIS.
