PointCLIP: Point Cloud Understanding by CLIP

This repository is an official implementation of the paper 'PointCLIP: Point Cloud Understanding by CLIP'.

Introduction

PointCLIP is the first to apply CLIP for point cloud recognition, which transfers 2D pre-trained knowledge into 3D domains. Specifically, we encode a point cloud by projecting it into multi-view depth maps without rendering, and aggregate the view-wise predictions for zero-shot classification.

On top of that, we design an inter-view adapter to further enhance the few-shot performance, and explore the effectiveness of muti-knowledge ensembling.

Implementation

Coming soon!