Dataset and Metrics for Predicting Local Visible Differences

Wolski, Krzysztof; Giunchi, Daniele; Ye, Nanyang; Didyk, Piotr; Myszkowski, Karol; Mantiuk, Rados\l{}aw; Seidel, Hans-Peter; Steed, Anthony; Mantiuk, Rafał K.

doi:10.1145/3196493

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Dataset and Metrics for Predicting Local Visible Differences

Wolski, K., Giunchi, D., Ye, N., Didyk, P., Myszkowski, K., Mantiuk, R., et al. (2018). Dataset and Metrics for Predicting Local Visible Differences. ACM Transactions on Graphics, 37(5): 172. doi:10.1145/3196493.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-5F75-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-FEB6-3

Genre: Journal Article

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Creators:
Wolski, Krzysztof¹, Author
Giunchi, Daniele², Author
Ye, Nanyang², Author
Didyk, Piotr¹, Author
Myszkowski, Karol¹, Author
Mantiuk, Rados\l{}aw², Author
Seidel, Hans-Peter¹, Author
Steed, Anthony², Author
Mantiuk, Rafał K.², 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: Accepted: 2018Published Online: 2018Date issued: 2018

Publication Status: Issued

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Identifiers: BibTex Citekey: wolski2018dataset
DOI: 10.1145/3196493

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Title: ACM Transactions on Graphics

Source Genre: Journal

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Publ. Info: New York, NY : ACM

Pages: 14 p. Volume / Issue: 37 (5) Sequence Number: 172 Start / End Page: - Identifier: ISSN: 0730-0301
CoNE: https://pure.mpg.de/cone/journals/resource/954925533022