CloSe: A 3D Clothing Segmentation Dataset and Model

Dimitrije Antic4, Garvita Tiwari1,2,3, Batuhan Ozcomlekci1, Riccardo Marin1,2, Gerard Pons-Moll1,2,3

1 University of Tübingen, Germany 2 Tübingen AI Center, Germany 3 Max Planck Institute for Informatics, Saarland Informatics Campus, Germany 4 University of Amsterdam, Netherlands

3DV 2024

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CloSe: A 3D Clothing Segmentation Dataset and Model.

Citation

@inproceedings{antic2024close,
    title = {CloSe: A 3D Clothing Segmentation Dataset and Model},
    author = {Antic, Dimitrije and Tiwari, Garvita and Ozcomlekci, Batuhan  and Marin, Riccardo  and Pons-Moll, Gerard},
    booktitle = {International Conference on 3D Vision (3DV)},
    month = {March},
    year = {2024},
    }

Acknowledgments



Carl-Zeiss-Stiftung Tübingen AI Center University of Tübingen MPII Saarbrücken


This work is supported by the German Federal Ministry of Education and Research (BMBF): T¨ubingen AI Center, FKZ: 01IS18039A. This work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 409792180 (Emmy Noether Programme, project: Real Virtual Humans). Gerard Pons-Moll is a member of the Machine Learning Cluster of Excellence, EXC number 2064/1 – Project number 390727645. The project was made possible by funding from the Carl Zeiss Foundation.