Combinatorial-3D-Shape-Generation

This is an official repository of paper "Combinatorial 3D Shape Generation via Sequential Assembly".

• arXiv Preprint: (abs), (pdf)
• High-Resolution Version (About 50MB)

Installing Required Python Packages (Python 3.7)

You are able to install required Python packages by commanding pip install -r requirements.txt.

Running

• Creating a dataset

Run the following script.

# Move to src_dataset/
$ ./dataset_all.sh 

It will create a dataset, which has already been included in the repository.

• Generating a 3D shape

# Move to src_generation/
$ python assemble_with_bo.py --ind_class 21 --ind_target 1 --use_stability --use_rollback

ind_class and ind_target indicate the indices of class and target object, respectively (Please check the code for dataset creation). use_stability and use_rollback are flags for considering stability and using a rollback step.

• Creating an XML file and its corresponding PLY files

Run the following script.

# Move to src_rendering/
$ ./meshes_all.sh 

It requires a rendering process with Mitsuba renderer. After changing the camera position and its perspective, render the XML file you want.

Connection Types Between Two 2-by-4 Bricks

Examples in Combinatorial 3D Shape Dataset

• Bar

• Line

• Plate

• Wall

• Cuboid

• Square Pyramid

• Chair

• Sofa

• Cup

• Hollow

• Table

• Car

Citation

@article{KimJ2020arxiv,
    author={Kim, Jungtaek and Chung, Hyunsoo and Lee, Jinhwi and Cho, Minsu and Park, Jaesik},
    title={Combinatorial {3D} Shape Generation via Sequential Assembly},
    journal={{arXiv} preprint {arXiv}:2004.07414},
    year={2020}
}

or

@inproceedings{KimJ2020neuripsw,
    author={Kim, Jungtaek and Chung, Hyunsoo and Lee, Jinhwi and Cho, Minsu and Park, Jaesik},
    title={Combinatorial {3D} Shape Generation via Sequential Assembly},
    booktitle={NeurIPS Workshop on Machine Learning for Engineering Modeling, Simulation, and Design (ML4Eng)},
    year={2020}
}

Contributor

• Jungtaek Kim: jtkim@postech.ac.kr
• Hyunsoo Chung: hschung2@postech.ac.kr

License

MIT License