We provide the test sets for evaluating moving point cloud prediction:
The code is released under MIT License.
If you find our work useful in your research, please consider citing:
@article{fan19pointrnn,
author = {Hehe Fan and Yi Yang},
title = {PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing},
journal = {arXiv},
volume = {1910.08287},
year = {2019}
}
Dataset | 1 MNIST | 2 MNIST | Argoverse | Argoverse | nuScenes | nuScenes |
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Input | ||||||
Ground truth | ||||||
PointRNN | ||||||
PointGRU | ||||||
PointLSTM |