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  • GitHub - microsoft O-CNN: O-CNN: Octree-based Convolutional Neural . . .
    O-CNN This repository contains the implementation of our papers related with O-CNN The code is released under the MIT license O-CNN: Octree-based Convolutional Neural Networks By Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo, Chun-Yu Sun and Xin Tong ACM Transactions on Graphics (SIGGRAPH), 36 (4), 2017
  • GitHub - octree-nn ocnn-pytorch: Octree-based 3D Convolutional Neural . . .
    O-CNN is an octree-based 3D convolutional neural network framework for 3D data O-CNN constrains the CNN storage and computation into non-empty sparse voxels for efficiency and uses the octree data structure to organize and index these sparse voxels Currently, this type of 3D convolution is known as Sparse Convolution in the research community
  • O-CNN README. md at master · microsoft O-CNN · GitHub
    2021 08 24: Update the code for pythorch-based O-CNN, including a UNet and some other major components Our vanilla implementation without any tricks on ScanNet dataset achieves 76 2 mIoU on the ScanNet benchmark, even surpassing the recent state-of-art approaches published in CVPR 2021 and ICCV 2021
  • GitHub - rnpatien O-CNN-rp: O-CNN: Octree-based Convolutional Neural . . .
    O-CNN This repository contains the implementation of O-CNN and Adaptive O-CNN introduced in our SIGGRAPH 2017 paper and SIGGRAPH Asia 2018 paper The code is released under the MIT license O-CNN: Octree-based Convolutional Neural Networks By Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo, Chun-Yu Sun and Xin Tong
  • This repository contains the code of our O-CNN paper. - GitHub
    O-CNN: Octree-based Convolutional Neural Networks This repository contains the code of some tools used in our O-CNN project The core code is contained in this repository If you use our code, please cite our paper
  • GitHub - EnvyKong O-CNN-1: O-CNN: Octree-based Convolutional Neural . . .
    Download the O-CNN protocol buffer files, which are contained in the folder caffe examples o-cnn Configure the path of the database and run caffe exe according to the instructions of Caffe We also provide our pre-trained Caffe model in caffe examples o-cnn
  • O-CNN docs installation. md at master - GitHub
    Our O-CNN takes the octree representation of 3D objects as input And the octree can be built from a point cloud representation of a 3D shape The code for converting a point cloud into octree representation and some useful tools to process octrees, point clouds and meshes are contained in the folder octree, which can be built via cmake:
  • GitHub - msraig O-CNN
    Contribute to msraig O-CNN development by creating an account on GitHub
  • O-CNN docs classification. md at master - GitHub
    O-CNN on Caffe Download ModelNet40 dataset and unzip it to the folder dataset ModelNet40 Convert triangle meshes (in off format) to point clouds (in points format) with the virtual_scanner This process can be automatically executed by the following command
  • O-CNN pytorch setup. py at master · microsoft O-CNN · GitHub
    O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis - O-CNN pytorch setup py at master · microsoft O-CNN





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