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Conference Paper

ATISS: Autoregressive Transformers for Indoor Scene Synthesis

MPS-Authors
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Paschalidou,  Despoina
Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

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Geiger,  Andreas
Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

External Resource

https://papers.nips.cc/paper_files/paper/2021/hash/64986d86a17424eeac96b08a6d519059-Abstract.html
(Publisher version)

https://doi.org/10.48550/arXiv.2110.03675
(Preprint)

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Citation

Paschalidou, D., Kar, A., Shugrina, M., Kreis, K., Geiger, A., & Fidler, S. (2022). ATISS: Autoregressive Transformers for Indoor Scene Synthesis. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), Advances in Neural Information Processing Systems 34 (pp. 12013-12026). Red Hook, NY: Curran Associates, Inc. Retrieved from https://papers.nips.cc/paper_files/paper/2021/hash/64986d86a17424eeac96b08a6d519059-Abstract.html.


Cite as: https://hdl.handle.net/21.11116/0000-000D-4228-C
Abstract
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