Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
pu net: point cloud upsampling network | 1.41 | 0.1 | 3833 | 83 | 38 |
pu | 1.67 | 0.9 | 1821 | 33 | 2 |
net: | 0.15 | 0.8 | 429 | 50 | 4 |
point | 1.26 | 0.1 | 2986 | 28 | 5 |
cloud | 1.49 | 0.3 | 7463 | 40 | 5 |
upsampling | 0.81 | 0.7 | 1780 | 18 | 10 |
network | 1.83 | 0.7 | 2243 | 94 | 7 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
point cloud upsampling network | 0.71 | 0.3 | 904 | 19 |
point cloud upsampling problem | 0.49 | 0.5 | 325 | 24 |
a point cloud upsampling adversarial network | 0.51 | 0.5 | 524 | 72 |
point cloud upsampling github | 1.46 | 1 | 621 | 69 |
point cloud completion network | 1.79 | 0.6 | 2292 | 21 |
point cloud upsampling transformer | 1.23 | 0.8 | 8746 | 30 |
semantic point cloud upsampling | 1.82 | 0.7 | 646 | 65 |
point_cloud | 1.82 | 0.1 | 3936 | 29 |
data-driven upsampling of point clouds | 0.12 | 0.5 | 1341 | 73 |
pu-net: point cloud upsampling network | 0.22 | 0.7 | 5939 | 99 |
edge-aware colored point cloud upsampling | 0.98 | 0.2 | 1969 | 59 |
point cloud after effects | 1.38 | 0.4 | 3508 | 60 |
point cloud has no normals | 1.66 | 0.2 | 5800 | 49 |
how to downproject a point cloud | 1.3 | 0.7 | 6144 | 83 |
point clouding in azure | 1.67 | 0.9 | 5399 | 29 |
private cloud on point to point network | 1.52 | 0.6 | 8214 | 100 |
point cloud neural network | 1.73 | 0.2 | 7766 | 55 |
feedback network for point cloud completion | 0.99 | 1 | 6326 | 32 |
point cloud modeling software | 0.85 | 0.3 | 3861 | 66 |
point cloud segmentation network | 0.48 | 0.9 | 6223 | 51 |
point cloud domain adaptation | 0.98 | 0.6 | 7416 | 49 |