采用动态残差图卷积的3D点云超分辨率
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钟帆,柏正尧
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3D point cloud super-resolution with dynamic residual graph convolutional networks
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Fan ZHONG,Zheng-yao BAI
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表 2 参数与推理时间对比结果 |
Tab.2 Performance comparison in parameters and inference time |
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网络 | D/(10−2) | k | t/ms | mean | std | Pointnet++ | 3.13 | 3.74 | 1 480 | 25.30 | PU-net | 0.46 | 0.55 | 777 | 10.40 | AR-GCN | 0.29 | 0.33 | 785 | 15.60 | PU-GAN | 0.30 | 0.31 | 684 | 14.30 | DGCNN | 2.90 | 3.20 | 1 842 | 41.60 | PC-SR | 2.64 | 2.90 | 844 | 21.30 | Meta-PU | 0.29 | 0.27 | 2 756 | 90.20 | PSR-DRGCN | 0.24 | 0.22 | 1 282 | 12.30 |
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