OASIS: A Large-Scale Dataset for Single Image 3D in the Wild

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(2020)

引用 46|浏览171
暂无评分
摘要
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.
更多
查看译文
关键词
Single-view 3D,Single Image 3D,3D vision research,single-image 3D tasks,detailed 3D geometry,OASIS,Single Image Surfaces
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要