Awesome

AST

Analysis-by-Synthesis Transformer for Single-View 3D Reconstruction

Dependencies :wrench:

conda env create -f environment.yml
conda activate ast

Dataset :arrow_down:

bash scripts/download_data.sh

Train models from scratch

To launch a training from scratch, run:

cuda=gpu_id config=filename.yml tag=run_tag ./scripts/pipeline.sh

where gpu_id is a device id, filename.yml is a config in configs folder, run_tag is a tag for the experiment.

Results are saved at runs/${DATASET}/${DATE}_${run_tag} where DATASET is the dataset name specified in filename.yml and DATE is the current date in mmdd format.

Contact

djia7@uic.edu

Citation

If you find this repo useful for your research, please consider citing our paper:

@inproceedings{jia2024ast,
  title={Analysis-by-Synthesis Transformer for Single-View 3D Reconstruction },
  author={Jia, Dian and Ruan, Xiaoqian and Xia, Kun and Zou, Zhiming and Wang, Le and Tang, Wei},
  booktitle={European Conference on Computer Vision},
  year={2024}
}

Acknowledgement

Many thanks to these excellent open source projects:

• Unicorn
• cmr
• SoftRas
• detr