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  Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data

Chu, M., Liu, L., Zheng, Q., Franz, E., Seidel, H.-P., Theobalt, C., et al. (2022). Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data. ACM Transactions on Graphics, 41(4): 119, pp. 1-14. doi:10.1145/3528223.3530169.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-6561-6 Version Permalink: https://hdl.handle.net/21.11116/0000-000B-6564-3
Genre: Journal Article

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https://people.mpi-inf.mpg.de/~mchu/projects/PI-NeRF/ (Supplementary material)
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 Creators:
Chu, Mengyu1, Author           
Liu, Lingjie1, Author           
Zheng, Quan2, Author           
Franz, Erik2, Author
Seidel, Hans-Peter3, Author           
Theobalt, Christian1, Author           
Zayer, Rhaleb3, Author           
Affiliations:
1Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society, ou_3311330              
2External Organizations, ou_persistent22              
3Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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Language(s): eng - English
 Dates: 2022
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1145/3528223.3530169
BibTex Citekey: Chu2022
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Project name : 4DRepy
Grant ID : 77078
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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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 (4) Sequence Number: 119 Start / End Page: 1 - 14 Identifier: ISSN: 0730-0301
CoNE: https://pure.mpg.de/cone/journals/resource/954925533022