Google Drive: https://drive.google.com/drive/folders/1bLhqXNoBxHh5PTbjoyqMnMtBzHwflL-q?usp=sharing
Direct Link: http://www.sdspeople.fudan.edu.cn/fuyanwei/download/Pixel2MeshPlusPlus/
The downloaded pre-training model zip file includes two components of our model: coarse shape generation and multi-view deformation network.
Please extract the model to the coarse_mvp2m and refine_p2mpp folders respectively according to the corresponding names. The folder structure after unzip should be as follows.
results
├── coarse_mvp2m
│ └── models
└── refine_p2mpp
└── models
We use ShapeNet as our training and testing data.
For input images, we use rendering images from Choy et. al..
Download image datasets and place them in a folder:
mkdir ShapeNetImages
wget http://cvgl.stanford.edu/data2/ShapeNetRendering.tgz
Please modify train/test_image_path to your 3D model path in the configuration file in cfg/ before training.
For ground-truth model, we adopt the dataset provided by Wang et.al.. Specifically, our pre-process approach is sampling point cloud with vertex normal from origin ShapeNet 3D models.
When using the provided data make sure to respect the shapenet license.
Download ground-truth models and place them in a folder:
mkdir ShapeNetModels
wget http://www.sdspeople.fudan.edu.cn/fuyanwei/download/Pixel2MeshPlusPlus/p2mpp_models.tar.gz
tar xzvf p2mpp_models.tar.gz
We also provided Google Drive link for ground truth models data.
The zip file has already split data into train/test set. Please modify train/test_data_path to your 3D model path in the configuration file in cfg/ before training.