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  ATISS: Autoregressive Transformers for Indoor Scene Synthesis

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.

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Description:
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OA-Status:
Gold
Description:
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OA-Status:
Green

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 Creators:
Paschalidou, Despoina1, 2, Author           
Kar, Amlan2, Author
Shugrina, Maria2, Author
Kreis, Karsten2, Author
Geiger, Andreas1, 2, Author           
Fidler, Sanja2, Author
Affiliations:
1Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344692              
2External Organizations, ou_persistent22              

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Free keywords: Forschungsgruppe Geiger
 Abstract: -

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Language(s): eng - English
 Dates: 20212022-05
 Publication Status: Issued
 Pages: 14
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
Place of Event: Online
Start-/End Date: 2021-12-06 - 2021-12-14

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Title: Advances in Neural Information Processing Systems 34
  Subtitle : 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
Source Genre: Proceedings
 Creator(s):
Ranzato, M.1, Editor
Beygelzimer, A.1, Editor
Dauphin, Y.1, Editor
Liang, P. S.1, Editor
Wortman Vaughan, J.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Red Hook, NY : Curran Associates, Inc.
Pages: - Volume / Issue: 15 Sequence Number: - Start / End Page: 12013 - 12026 Identifier: ISBN: 978-1-7138-4539-3
URI: https://papers.nips.cc/paper_files/paper/2021