pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
MIT License
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
Frustum PointNets for 3D Object Detection from RGB-D Data
Official PyTorch implementation of SegFormer
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This...
My personal codebase for segmentation tasks.
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
Object detection, 3D detection, and pose estimation using center point detection:
An easy to understand and better performance version of CenterNet
Many studies have shown that the performance on deep learning is significantly affected by volume...
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction ...
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等