ICCV 2023
Project page
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Paper
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Video
res-demo.mp4
conda env create -f environment.yml
This script will create an environment named fewartigen
.
Please refer to doc_data
for datasets and pre-processed data-related information.
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
@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}
}
Please contact xymeow7@gmail.com if you have any questions.
Part of the code is taken from BSP-Net-Pytorch, BAE-Net, deep_cages, and DeepMetaHandles. We thank the authors for their awesome code.