Learning To Recover 3D Scene Shape From a Single Image
Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Long Mai, Simon Chen, Chunhua Shen
2021年份
96顶会引用
摘要
Figure 1 : 3D scene structure distortion of projected point clouds. While the predicted depth map is correct, the 3D scene shape of the point cloud suffers from noticeable distortions due to an unknown depth shift and focal length (third column). Our method recovers these parameters using 3D point cloud networks. With recovered depth shift, the walls and bed edges become straight, but the overall scene is stretched (fourth column). Finally, with recovered focal length, an accurate 3D scene can be reconstructed (fifth column).
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引用它的顶会 Paper96
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它引用的顶会 Paper7
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- Enforcing Geometric Constraints of Virtual Normal for Depth PredictionWei Yin, Yifan Liu, Chunhua Shen, Youliang YanICCV 2019 · 被引用 487 次
- Task-Aware Monocular Depth Estimation for 3D Object DetectionXinlong Wang, Wei Yin, Tao Kong, Yuning Jiang 等AAAI 2020 · 被引用 63 次
- SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth EstimationLijun Wang, Jianming Zhang, Oliver Wang, Zhe Lin 等CVPR 2020
- OASIS: A Large-Scale Dataset for Single Image 3D in the WildWeifeng Chen, Shengyi Qian, David Fan, Noriyuki Kojima 等CVPR 2020
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