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Dataset

ShapNet55/34

We propose two more challenging benchmarks ShapeNet-55 and ShapeNet-34 with more diverse incomplete point clouds that can better reflect the real-world scenarios to promote future research. Our dataset is based on ShapeNetCore. Compared to existing datasets like PCN, ShapeNet-55 considers more diverse tasks (i.e., upsampling and completion of point cloud), more diverse categories (i.e., from 8 categories to 55 categories), more diverse viewpoints (i.e., from 8 viewpoints to all possible viewpoints) and more diverse levels of incompleteness (i.e., missing 25% to 75% points of the groundtruth point clouds). We also propose to benchmark the completion perfomance on objects from unseen categories with ShapeNet-34.

dataset

Data Preparation

The overall directory structure should be:

│PoinTr/
├──cfgs/
├──datasets/
├──data/
│   ├──ShapeNet55-34/
│   ├──PCN/
│   ├──KITTI/
├──.......

ShapeNet55/34 Dataset: You can download the processed ShapeNet55/34 dataset at [BaiduCloud] (code:le04) or [Google Drive]. Unzip the file under ShapeNet55-34/. The directory structure should be

│ShapeNet55-34/
├──shapenet_pc/
│  ├── 02691156-xxxxxxxxxxxxxx.npy
│  ├── 02691156-xxxxxxxxxxxxxx.npy
│  ├── .......
├──ShapeNet-34/
│  ├── train.txt
│  └── test.txt
├──ShapeNet-34/
│  ├── train.txt
│  └── test.txt
├──ShapeNet-Unseen21/
   └── test.txt

PCN Dataset: You can download the processed PCN dataset from this url. The directory structure should be

│PCN/
├──train/
│  ├── complete
│  │   ├── 02691156
│  │   │   ├── xxxxxxxxxxxxxx.pcd
│  │   │   ├── .......
│  │   ├── .......
│  ├── partial
│  │   ├── 02691156
│  │   │   ├── xxxxxxxxxxxxxx
│  │   │   │   ├── 00.pcd
│  │   │   │   ├── 01.pcd
│  │   │   │   ├── .......
│  │   │   │   └── 07.pcd
│  │   │   ├── .......
│  │   ├── .......
├──test/
│  ├── complete
│  │   ├── 02691156
│  │   │   ├── xxxxxxxxxxxxxx.pcd
│  │   │   ├── .......
│  │   ├── .......
│  ├── partial
│  │   ├── 02691156
│  │   │   ├── xxxxxxxxxxxxxx
│  │   │   │   └── 00.pcd
│  │   │   ├── .......
│  │   ├── .......
├──val/
│  ├── complete
│  │   ├── 02691156
│  │   │   ├── xxxxxxxxxxxxxx.pcd
│  │   │   ├── .......
│  │   ├── .......
│  ├── partial
│  │   ├── 02691156
│  │   │   ├── xxxxxxxxxxxxxx
│  │   │   │   └── 00.pcd
│  │   │   ├── .......
│  │   ├── .......
├──PCN.json
└──category.txt

KITTI: You can download the KITTI dataset from this url. The directory structure should be

│KITTI/
├──bboxes/
│  ├── frame_0_car_0.txt
│  ├── .......
├──cars/
│  ├── frame_0_car_0.pcd
│  ├── .......
├──tracklets/
│  ├── tracklet_0.txt
│  ├── .......
├──KITTI.json