#

point-cloud-understanding

Here are 2 public repositories matching this topic...

auniquesun / PPT

[ICRA 2024] Official Implementation of the paper "Parameter-efficient Prompt Learning for 3D Point Cloud Understanding"

point-cloud-recognition 3d-point-cloud point-cloud-analysis prompt-learning parameter-efficient-tuning point-cloud-understanding 3d-shape-part-segmentation parameter-efficient-fine-tuning 3d-shape-analysis

Updated Feb 24, 2025
Jupyter Notebook

auniquesun / ViPFormer

[ICRA 2023] Official implementation of the paper "ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding"

pytorch unsupervised-learning multimodal self-supervised-learning pytorch-implementation 3d-shape-recognition point-cloud-classification point-cloud-recognition point-cloud-analysis image-and-pointcloud-processing point-cloud-understanding 3d-shape-part-segmentation

Updated May 11, 2025
Jupyter Notebook

Improve this page

Add a description, image, and links to the point-cloud-understanding topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the point-cloud-understanding topic, visit your repo's landing page and select "manage topics."