Improving Single-View Mesh Reconstruction for Unseen Categories via Primitive-Based Representation and Mesh Augmentation

PyTorch implementaton of our IROS2022 paper "Improving Single-View Mesh Reconstruction for Unseen Categories via Primitive-Based Representation and Mesh Augmentation".
You can visit our project website.

In this paper, we propose a primitive-based deformation framework to reconstruct view-centered meshes from RGB images, in which it better generalizes to the object categories that are unseen during training. Moreover, we propose a novel strategy for 3D mesh augmentation to enrich and diversify the training data.

Please cite our paper if you find it useful for your research.

@InProceedings{kuo2022vpsvr,
    author = {Kuo, Yu-Liang and Ko, Wei-Jan and Chiu, Chen-Yi and Chiu, Wei-Chen},
    title = {Improving Single-View Mesh Reconstruction for Unseen Categories via Primitive-Based Representation and Mesh Augmentation},
    booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
    month = {October},
    year = {2022}
}