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SVDTree.

This repo includes the program of our paper SVDTree (Accepted by CVPR 2024). This work was conducted one year before I joined UTokyo.

  • I am one of the joint first authors (Zhihao Liu), who take charge of the implementation of the second main step of this paper, i.e. Voxel (Point Cloud)-based 3D Tree Reconstruction. This part is entirely implemented by myself so I released it seperately in my own Github.

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Point Cloud (Voxel)-based 3D Tree Reconstruction.

Since point clouds are way more complex and common than the voxel representation used in our paper, we released a more Generic Version of our codes so that you can easily handle both two data representations more robustly.

  • 📺 Demo Video: Please first watch this [Demo Video] to see the intructions of the usage of my software.

  • 🟥 Download link: Please get our software by downloading the entire [This Folder]. If you're using Win10+, we strongly suggest you to try the EXE version that we released for quick start . After downloading the entire directory, you can directly run the program by double clicking the TreeFromPoint.exe. (Windowsシステムを使用する場合、このexeファイルをおすすめします!設定やコンパイルは必要ありません!)

  • 📁 Codes: Please check this [Folder] to download my source codes.

  • 🟦 Test Data of a 3D Point Cloud: Please also download this EXAMPLE 3D point cloud file [xyz file] to quickly have a try with our software.

❤️ My software (User Interface):

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Fig. 1. Input 3D point cloud.

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Fig. 2. Clustering.

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Fig. 3. The extracted 3D tree skeleton.

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The implementation of SVDTree (CVPR2024)

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