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SFGAN: Unsupervised Generative Adversarial Learning of 3D Scene Flow from the 3D Scene Self

2021-10-04

Abstract excerpt

3D scene flow presents the 3D motion of each point in the 3D space, which forms the fundamental 3D motion perception for autonomous driving and server robots. Although the RGBD camera or LiDAR capture discrete 3D points in space, the objects and motions usually are continuous in the macro world. That is, the objects keep themselves consistent as they flow from the current frame to the next frame. Based on this ins...

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Literature Corpus work
109f297b-7ada-5b01-bf21-45590aa39135
DOI
10.22541/au.163335790.03073492/v1
Open publication

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SFGAN: Unsupervised Generative Adversarial Learning of 3D Scene Flow from the 3D Scene SelfDOI 10.22541/au.163335790.03073492/v1
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