HiT: Hierarchical Transformers for Unsupervised 3D Shape Abstraction

Aditya Vora, Lily Goli, Andrea Tagliasacchi, Hao Zhang

This repository contains the official implementation of HiT: Hierarchical Transformers for Unsupervised 3D Shape Abstraction.

Installation Steps

1. Clone the Repository:

   git clone --recursive https://github.com/aditya-vora/HiT
   cd HiT
   

2. Set Up the Conda Environment:

   conda create -n hit python=3.10;
   conda activate hit
   

3. Install the dependencies inside the conda environment:

   pip install -r requirements.txt
   

TODO

• [x] Release training code.
• [x] Release data processing scripts.
• [ ] Release evaluation scripts.
• [ ] Release the pretrained models.
• [ ] Testing.

<section class="section" id="BibTeX"> <div class="container is-max-desktop content"> <h2 class="title">BibTeX</h2> <pre><code> @article{vora2025hierarchical, title={Hierarchical Transformers for Unsupervised 3D Shape Abstraction}, author={Vora, Aditya and Goli, Lily and Tagliasacchi, Andrea and Zhang, Hao}, journal={arXiv preprint arXiv:2510.27088}, year={2025} } </code></pre> </div> </section>