Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
pu net: point cloud upsampling network | 1.1 | 0.5 | 4532 | 67 | 38 |
pu | 1.01 | 0.2 | 53 | 26 | 2 |
net: | 1.8 | 1 | 2461 | 68 | 4 |
point | 0.95 | 0.7 | 6323 | 41 | 5 |
cloud | 1.05 | 1 | 9431 | 82 | 5 |
upsampling | 0.08 | 0.6 | 2117 | 18 | 10 |
network | 0.63 | 0.2 | 2270 | 79 | 7 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
point cloud upsampling network | 1.66 | 0.1 | 1013 | 91 |
point cloud upsampling problem | 1.97 | 0.1 | 9721 | 14 |
a point cloud upsampling adversarial network | 0.87 | 0.7 | 3188 | 71 |
point cloud upsampling github | 0.86 | 0.6 | 5829 | 29 |
point cloud completion network | 0.12 | 0.2 | 6669 | 35 |
point cloud upsampling transformer | 1.68 | 0.4 | 1356 | 71 |
semantic point cloud upsampling | 0.97 | 0.1 | 1129 | 9 |
point_cloud | 1.69 | 0.7 | 3883 | 55 |
data-driven upsampling of point clouds | 0.55 | 0.7 | 1173 | 100 |
pu-net: point cloud upsampling network | 0.47 | 0.6 | 6634 | 20 |
edge-aware colored point cloud upsampling | 0.03 | 0.2 | 3939 | 49 |
point cloud after effects | 1.36 | 0.8 | 6902 | 95 |
point cloud has no normals | 1.08 | 0.6 | 6278 | 56 |
how to downproject a point cloud | 0.11 | 0.1 | 5371 | 10 |
point clouding in azure | 1.32 | 0.9 | 7523 | 30 |
private cloud on point to point network | 0.39 | 0.7 | 3745 | 55 |
point cloud neural network | 1.87 | 0.8 | 2513 | 7 |
feedback network for point cloud completion | 1.9 | 0.8 | 8151 | 11 |
point cloud modeling software | 1.92 | 0.2 | 5834 | 94 |
point cloud segmentation network | 0.65 | 1 | 1751 | 39 |
point cloud domain adaptation | 1.17 | 0.4 | 2537 | 69 |