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  SimNP: Learning Self-Similarity Priors Between Neural Points

Wewer, C., Ilg, E., Schiele, B., & Lenssen, J. E. (2023). SimNP: Learning Self-Similarity Priors Between Neural Points. In IEEE/CVF International Conference on Computer Vision (pp. 8807-8818). Piscataway, NJ: IEEE. doi:10.1109/ICCV51070.2023.00812.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-C95E-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-268A-B
Genre: Conference Paper
Latex : {SimNP}: {L}earning Self-Similarity Priors Between Neural Points

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Wewer_SimNP_Learning_Self-Similarity_Priors_Between_Neural_Points_ICCV_2023_paper.pdf (Preprint), 3MB
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These ICCV 2023 papers are the Open Access versions, provided by the Computer Vision Foundation. Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.
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 Creators:
Wewer, Christopher1, Author           
Ilg, Eddy2, Author
Schiele, Bernt1, Author                 
Lenssen, Jan Eric1, Author           
Affiliations:
1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 202320242023
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Wewer_ICCV23
DOI: 10.1109/ICCV51070.2023.00812
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Title: IEEE/CVF International Conference on Computer Vision
Place of Event: Paris, France
Start-/End Date: 2023-10-02 - 2023-10-06

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Title: IEEE/CVF International Conference on Computer Vision
  Abbreviation : ICCV 2023
  Subtitle : Proceedings
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 8807 - 8818 Identifier: ISBN: 979-8-3503-0718-4