PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

CLEVR3D Dataset: Comprehensive Visual Question Answering on Point Clouds through Compositional Scene Manipulation

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) 🔥

The 2nd solution (68.1 mIoU) for 1st Urban3D challenge.

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)

Everybody dance now reproduced in pytorch

Using QANet and BiDAF on DuReader datasets

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

3D Graph Neural Networks for RGBD Semantic Segmentation

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

My deeplearning case study

This CapsNet implemented by pytorch