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  Scalable Multi-Class Sampling via Filtered Sliced Optimal Transport

Salaün, C., Georgiev, I., Seidel, H.-P., & Singh, G. (2022). Scalable Multi-Class Sampling via Filtered Sliced Optimal Transport. ACM Transactions on Graphics, 41(6): 261, pp. 1-14. doi:10.1145/3550454.3555484.

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3550454.3555484.pdf (Publisher version), 37MB
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 Creators:
Salaün, Corentin1, Author           
Georgiev, Iliyan2, Author
Seidel, Hans-Peter1, Author                 
Singh, Gurprit1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20222022
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: SalauenSIGGRAPHAsia22
DOI: 10.1145/3550454.3555484
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Title: ACM Transactions on Graphics
Source Genre: Journal
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Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: 41 (6) Sequence Number: 261 Start / End Page: 1 - 14 Identifier: ISSN: 0730-0301
CoNE: https://pure.mpg.de/cone/journals/resource/954925533022

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Title: Proceedings of ACM SIGGRAPH Asia 2022
  Abbreviation : ACM SIGGRAPH Asia 2022
  Other : SA '22
  Other : SA 2022
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -