For anyone who are interested in self-supervised learning on 3D point cloud.

If you find the awesome paper/code/dataset or have some suggestions, please contact Guocheng Qian. Thanks for your valuable contribution to the research community. 😃

Statistics: 🔥 code is available & stars >= 100  |  ⭐ citation >= 50

• [3DV19] Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering With Graph Convolutional Neural Network.
• [ICCV19] Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction.
• [ICCV19] Unsupervised Multi-Task Feature Learning on Point Clouds.
• [NeurIPS19] Self-Supervised Deep Learning on Point Clouds by Reconstructing Space.
• [NeurIPS19] Self-Supervised Few-Shot Learning on Point Clouds. [code]
• [CVPRW20] MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds.
• [ECCV20] PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. [code]
• [ICLR21 (under review)] pretrainng by compling point clouds.

This awesome list is built on awesome-point-cloud-analysis-2020.