The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Style translation for human motion
Open accessAbstract
Style translation is the process of transforming an input motion into a new style while preserving its original content. This problem is motivated by the needs of interactive applications, which require rapid processing of captured performances. Our solution learns to translate by analyzing differences between performances of the same content in input and output styles. It relies on a novel correspondence algorithm to align motions, and a linear time-invariant model to represent stylistic differences. Once the model is estimated with system identification, our system is capable of translating streaming input with simple linear operations at each frame.
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Cites
Retargetting motion to new characters
Gleicher, M. (1998) · Proceedings of the 25th annual conference on Computer graphics and interactive techniques - SIGGRAPH '98 · doi:10.1145/280814.280820 · Cited by 854
Separating Style and Content with Bilinear Models
Tenenbaum, J. B., & Freeman, W. T. (2000) · Neural Computation · doi:10.1162/089976600300015349 · Cited by 840
Cited by
(2020) · doi:10.1111/cgf.13946 · Cited by 176
Body expression recognition from animated 3D skeleton
Crenn, A., Khan, R. A., Meyer, A., & Bouakaz, S. (2016) · 2016 International Conference on 3D Imaging (IC3D) · doi:10.1109/ic3d.2016.7823448 · Cited by 34
Efficient dynamic skinning with low-rank helper bone controllers
Mukai, T., & Kuriyama, S. (2016) · ACM Transactions on Graphics · doi:10.1145/2897824.2925905 · Cited by 31
Metadata
- Authors
- Hsu, E., Pulli, K., & Popović, J.
- Venue
- ACM Transactions on Graphics
- Published
- 2005-07
- Volume
- 24
- Issue
- 3
- Pages
- 1082-1089
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2112539290
- Cited by
- 305
- References
- 2
- FWCI
- 40.90
- Type
- journal article
- Language
- en
- Open access
- green
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