gaps when used on large-scale point cloud
dxbbwan opened this issue · 1 comments
dxbbwan commented
Thanks for your excellent work!
When using test_large.py, the generated point cloud has obvious gaps, which may cause by clustering. I wonder is there a good way to eliminate this, do you have any advice? thx