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license: cc-by-nc-4.0 |
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--- |
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# pix2gestalt Model Weights |
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[Code](https://github.com/cvlab-columbia/pix2gestalt), [Website](https://gestalt.cs.columbia.edu/), [arXiv](https://arxiv.org/abs/2401.14398) |
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[pix2gestalt: Amodal Segmentation by Synthesizing Wholes](https://gestalt.cs.columbia.edu/) |
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[Ege Ozguroglu](https://egeozguroglu.github.io/)<sup>1</sup>, [Ruoshi Liu](https://ruoshiliu.github.io/)<sup>1</sup>, [Dídac Surís](https://www.didacsuris.com/)<sup>1</sup>, [Dian Chen](https://scholar.google.com/citations?user=zdAyna8AAAAJ&hl=en)<sup>2</sup>, [Achal Dave](https://www.achaldave.com/)<sup>2</sup>, [Pavel Tokmakov](https://pvtokmakov.github.io/home/)<sup>2</sup>, [Carl Vondrick](https://www.cs.columbia.edu/~vondrick/)<sup>1</sup> <br> |
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<sup>1</sup>Columbia University, <sup>2</sup>Toyota Research Institute |
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<div align="left"> |
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<a href="https://gestalt.cs.columbia.edu/"><img height="80%" alt="pix2gestalt" src="https://gestalt.cs.columbia.edu/static/images/teaser/%20pix2gestalt_teaser.jpg"></a> |
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</div> |
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<b>pix2gestalt</b> synthesizes whole objects from only partially visible ones, enabling amodal segmentation, recognition, and 3D reconstruction of occluded objects. |
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## Citation |
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``` |
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@misc{ozguroglu2024pix2gestalt, |
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title={pix2gestalt: Amodal Segmentation by Synthesizing Wholes}, |
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author={Ege Ozguroglu and Ruoshi Liu and Dídac Surís and Dian Chen and Achal Dave and Pavel Tokmakov and Carl Vondrick}, |
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year={2024}, |
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eprint={2401.14398}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV} |
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} |
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``` |
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## Acknowledgement |
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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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