Surface and Edge Detection for Primitive Fitting of Point Clouds SIGGRAPH 2023 conference proceedings

install

following parsenet install cmds

data prepare

• please download our dataset from Onedrive or from Baiduyun (password is meta), and load all files of folder sed_net_data to data

• please download parsenet datasets from Onedrive or from Baiduyun (password is meta), and load all files of folder parsenet to data_parsenet

• you can download our pretained models from Onedrive or from Baiduyun (password is meta), and load all weights of folder ckpts to ckpts

• you can download SplineNet dataset from Gooogle Drive

train & test

• test model with normal

python generate_predictions_aug.py configs/config_SEDNet_normal.yml NoSave no_multi_vote no_fold5drop

• train model with normal

python train_sed_net.py configs/config_SEDNet_normal.yml

mesh creation

arg2mesh/arg2mesh.py

reference

1. parsenet
2. hpnet

Cite

@inproceedings{li2023surface, title={Surface and edge detection for primitive fitting of point clouds}, author={Li, Yuanqi and Liu, Shun and Yang, Xinran and Guo, Jianwei and Guo, Jie and Guo, Yanwen}, booktitle={ACM SIGGRAPH 2023 Conference Proceedings}, pages={1--10}, year={2023} }