Representing and Reconstructing General Non-rigid Objects with Neural Models

Tretschk, Edith

doi:doi:10.22028/D291-41650

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Representing and Reconstructing General Non-rigid Objects with Neural Models

Tretschk, E. (2024). Representing and Reconstructing General Non-rigid Objects with Neural Models. PhD Thesis, Universität des Saarlandes, Saarbrücken. doi:doi:10.22028/D291-41650.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-2406-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-2407-1

Genre: Thesis

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https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/37392 (Any fulltext) Open Access Green

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Creators:
Tretschk, Edith¹, Author
Theobalt, Christian², Advisor
Seidel, Hans-Peter¹, Referee
Agapito, Lourdes¹, Referee

Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047
2Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society, ou_3311330

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Language(s): eng - English

Dates: Accepted: 2024-01-29Published Online: 2024

Publication Status: Published online

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Publishing info: Saarbrücken : Universität des Saarlandes

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Identifiers: BibTex Citekey: Tretschk_PhD2024
DOI: doi:10.22028/D291-41650
URN: urn:nbn:de:bsz:291--ds-416509
Other: hdl:20.500.11880/37392

Degree: PhD

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