README.md

November 21, 2025 ยท View on GitHub

My CUDA library

Faster our code in CUDA.

  • chamfer3D: 3D chamfer distance within two point cloud, by Qingwen Zhang involved when she was working on SeFlow.
  • mmcv: directly from mmcv, not our code.
  • mmdet: only python file, no need to compile
  • histlib: from Yancong's ICP-Flow project.

Quick View about CUDA speed on our chamfer3D (Faster 60x than others):

The number of points: (pc0: 88132, pc1: 88101)

FunctionTime (ms)
Faiss817.698
CUDA(SCOOP, Batch)83.275
Pytorch3D68.256
CUDA(SeFlow, SharedM)14.308
mmcv(chamfer2D)651.510