Pinned

1. Cluster3DSeg Cluster3DSeg Public

   This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).

   Python 25

2. LSK3DNet LSK3DNet Public

   This is the official implementation of "LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels" (Accepted at CVPR 2024).

   20 1

3. Interpretable3D Interpretable3D Public

   This is the official implementation of "Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds" (Accepted at AAAI 2024).

   Python 4

4. Re-Track Re-Track Public

   This is the implementation of "A Novel Object Re-Track Framework for 3D Point Clouds", which is accepted by ACM-MM 2020.

   Python 2

5. 3D-Point-Cloud-Get-Started 3D-Point-Cloud-Get-Started Public

   This summary includes traditional algorithms and deep learning methods, which refers to paper with code, shenlanxueyuan, and My blog (in Chinese).

   29 2

6. Shape-Measure Shape-Measure Public

   PyTorch version of shape evaluation metrics

   Cuda 23 3