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pix2gestalt Model Weights

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pix2gestalt: Amodal Segmentation by Synthesizing Wholes
Ege Ozguroglu1, Ruoshi Liu1, Dídac Surís1, Dian Chen2, Achal Dave2, Pavel Tokmakov2, Carl Vondrick1
1Columbia University, 2Toyota Research Institute

pix2gestalt
pix2gestalt synthesizes whole objects from only partially visible ones, enabling amodal segmentation, recognition, and 3D reconstruction of occluded objects.

Citation

@misc{ozguroglu2024pix2gestalt,
      title={pix2gestalt: Amodal Segmentation by Synthesizing Wholes}, 
      author={Ege Ozguroglu and Ruoshi Liu and Dídac Surís and Dian Chen and Achal Dave and Pavel Tokmakov and Carl Vondrick},
      year={2024},
      eprint={2401.14398},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Acknowledgement

This research is based on work partially supported by the Toyota Research Institute, the DARPA MCS program under Federal Agreement No. N660011924032, the NSF NRI Award #1925157, and the NSF AI Institute for Artificial and Natural Intelligence Award #2229929. DS is supported by the Microsoft PhD Fellowship.

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