Multimodal dance style transfer
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Dokumenter
- Fulltext
Forlagets udgivne version, 2,8 MB, PDF-dokument
Originalsprog | Engelsk |
---|---|
Artikelnummer | 48 |
Tidsskrift | Machine Vision and Applications |
Vol/bind | 34 |
Udgave nummer | 4 |
Antal sider | 14 |
ISSN | 0932-8092 |
DOI | |
Status | Udgivet - 2023 |
Bibliografisk note
Funding Information:
This study has received funding from the European Commission Horizon 2020 research and innovation program under Grant Agreement Number 824160 (EnTimeMent). This work benefited from access to the HPC resources provided by the Swedish National Infrastructure for Computing (SNIC), partially funded by the Swedish Research Council through Grant Agreement No. 2018-05973. We thank the dancers from Stockholm University of the Arts, KTH Dance Club, and others. We are also grateful to the reviewers for their thoughtful comments.
Funding Information:
This study has received funding from the European Commission Horizon 2020 research and innovation program under Grant Agreement Number 824160 (EnTimeMent). This work benefited from access to the HPC resources provided by the Swedish National Infrastructure for Computing (SNIC), partially funded by the Swedish Research Council through Grant Agreement No. 2018-05973. We thank the dancers from Stockholm University of the Arts, KTH Dance Club, and others. We are also grateful to the reviewers for their thoughtful comments.
Publisher Copyright:
© 2023, The Author(s).
ID: 370580421