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Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation

Zongrui Li*, Minghui Hu*, Qian Zheng✉️, Xudong Jiang

*: Equal Contribution. ✉️: Corresponding author.

<div align=center> <img src="assets/teaser.gif" width="90%"/> </div>

[Project Page] [Arxiv]

🚩 Brief

We present an improved 2D-to-3D distillation method using theories from consistency distillation.

💻 Installation

conda create -n gcs python=3.9.16 cudatoolkit=11.8
conda activate gcs
pip install -r requirements.txt
pip install submodules/diff-gaussian-rasterization/
pip install submodules/simple-knn/
pip install submodules/point-e/
pip install tensorboard

🥊 Training

python train.py --opt configs/full_model/cat_armor.yaml
# train script
sh scripts/train_0.sh

🧾 Todo List

📖 Citation

@article{li2024gcs,
  title={Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation},
  author={Li, Zongrui and Hu, Minghui and Zheng, Qian and Jiang, Xudong},
  journal={arXiv preprint arXiv:2407.13584},
  year={2024}
}

🙏 Acknowledgement

Our work is developed on LucidDreamer. Thanks for their contribution to this task!