Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation

ICCV 2023
Project page | Paper | Supp | Video

https://github.com/Meowuu7/few-arti-gen/assets/50799886/96ec73a6-af99-4d0c-9365-c48d184fc33c

Enviroment

conda env create -f environment.yml

This script will create an environment named fewartigen.

Data

Please refer to doc_data for datasets and pre-processed data-related information.

Instructions

The method consists of four stages:

• Convex decomposition: a pre-processing stage. Please refer to doc_convex_decomposition for details.
• Convex deformation: learning the convex deformation module. Please refer to doc_convex_deformation for details.
• Deformation synchronization: synchronizing convex deformations for object-level deformations. Please refer to doc_deformation_synchronization for details.
• Physics-aware correction: deformation correction considering the physical validity of the generated articulated object. Please refer to doc_physics_correction for details.

TODOs (More to come, stay tuned!)

• [ ] Pre-training process
• [ ] Data and checkpoitns
• [ ] More docs

Citation

@inproceedings{liu2023fewshot,
      title={Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation},
      author={Liu, Xueyi and Wang, Bin and Wang, He and Yi, Li},
      booktitle={International Conference on Computer Vision (ICCV)},
      year={2023}
}

Contact

Please contact [email protected] if you have any questions.

Reference

Part of the code is taken from BSP-Net-Pytorch, BAE-Net, deep_cages, and DeepMetaHandles. We thank the authors for their awesome code.