# 3D Deep Learning 相關論文筆記
###### tags: `3D Deep Learning`
## Point-Based
* [PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space](https://hackmd.io/@Chang-Chia-Chi/SJDLkQnC_)
* [Dynamic Graph CNN for Learning on Point Clouds](https://hackmd.io/@Chang-Chia-Chi/r1pquJc3d)
* [PointConv: Deep Convolutional Networks on 3D Point Clouds](https://hackmd.io/@Chang-Chia-Chi/HyaRW7QTO)
* [Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling](https://hackmd.io/@Chang-Chia-Chi/SJ5RCHAZF)
* [RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds](https://hackmd.io/@Chang-Chia-Chi/Bk8my4ylY)
* [PCT: Point Cloud Transformer](https://hackmd.io/@Chang-Chia-Chi/Bkf-obzmK)
* [BiPointNet: Binary Neural Network for Point Clouds](https://hackmd.io/@Chang-Chia-Chi/H1vBFFAyF)
* [Binary Graph Neural Networks](https://hackmd.io/@Chang-Chia-Chi/rJzvCAalY)
* [Distilling Knowledge from Graph Convolutional Networks](https://hackmd.io/@Chang-Chia-Chi/SyA4EO42u)
## Point-Voxel Based
* [Point-Voxel CNN for Efficient 3D Deep Learning](https://hackmd.io/@Chang-Chia-Chi/SJiercA3d)
* [Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution](https://hackmd.io/@Chang-Chia-Chi/B1MIAcZNt)
* [PVT: Point-Voxel Transformer for 3D Deep Learning](https://hackmd.io/@Chang-Chia-Chi/S1PB653mY)
## Survey Study
* [Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification](https://hackmd.io/@Chang-Chia-Chi/B1g9mYqXK)
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