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ICLR2025顶会

Neural Eulerian Scene Flow Fields

Kyle Vedder, Neehar Peri, Ishan Khatri, Siyi Li, Eric Eaton, Mehmet Kemal Kocamaz, Yue Wang, Zhiding Yu, Deva Ramanan, Joachim Pehserl

出版方
2025年份
8顶会引用

摘要

2 NVIDIA 3 Carnegie Mellon University (a) Small object motion extraction... (b) ...in diverse, dynamic scenes... (c) ...with emergent 3D point tracking behavior! Figure 1 : EulerFlow is able to capture the motion of small, fast moving objects with few lidar points, such a bird flying in front of an autonomous vehicle (Figure 1a ). EulerFlow's flexibility allows it to estimate scene flow for fast-moving table top objects without additional hyperparameter tuning (Figure 1b ). EulerFlow's ODE estimate exhibits emergent 3D point tracking behavior without explicit long-horizon supervision (Figure 1c ). Note that point clouds are shown in color for visualization purposes only; RGB is not used during optimization.

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