Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
pu net: point cloud upsampling network | 1.7 | 0.8 | 8995 | 87 | 38 |
pu | 1.07 | 0.9 | 8056 | 100 | 2 |
net: | 1.45 | 0.1 | 2579 | 90 | 4 |
point | 1.97 | 0.2 | 9699 | 98 | 5 |
cloud | 0.11 | 0.2 | 3573 | 52 | 5 |
upsampling | 0.22 | 0.4 | 2887 | 29 | 10 |
network | 1.61 | 0.2 | 9507 | 55 | 7 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
point cloud upsampling network | 0.16 | 0.1 | 1675 | 15 |
point cloud upsampling problem | 0.01 | 0.7 | 305 | 28 |
a point cloud upsampling adversarial network | 1.76 | 0.9 | 8145 | 46 |
point cloud upsampling github | 0.52 | 0.8 | 7961 | 91 |
point cloud completion network | 1.37 | 0.7 | 2917 | 44 |
point cloud upsampling transformer | 1.15 | 0.4 | 5995 | 71 |
semantic point cloud upsampling | 1.79 | 0.9 | 244 | 46 |
point_cloud | 1.99 | 0.6 | 4036 | 83 |
data-driven upsampling of point clouds | 1.21 | 0.8 | 4024 | 4 |
pu-net: point cloud upsampling network | 0.65 | 0.3 | 5939 | 34 |
edge-aware colored point cloud upsampling | 0.23 | 0.6 | 5391 | 32 |
point cloud after effects | 1.72 | 0.2 | 8290 | 70 |
point cloud has no normals | 0.1 | 0.2 | 9224 | 75 |
how to downproject a point cloud | 0.98 | 0.2 | 9689 | 84 |
point clouding in azure | 1.59 | 0.6 | 6276 | 66 |
private cloud on point to point network | 1.5 | 1 | 9982 | 52 |
point cloud neural network | 1.64 | 0.7 | 9701 | 100 |
feedback network for point cloud completion | 0.18 | 0.4 | 111 | 35 |
point cloud modeling software | 1.8 | 0.5 | 8590 | 87 |
point cloud segmentation network | 1.28 | 0.6 | 402 | 69 |
point cloud domain adaptation | 1.63 | 0.9 | 7974 | 71 |