TR2000-14

Style Machines


    •  Brand, M., Hertzmann, A., "Style Machines", ACM SIGGRAPH, July 2000, pp. 183-192.
      BibTeX TR2000-14 PDF
      • @inproceedings{Brand2000jul,
      • author = {Brand, M. and Hertzmann, A.},
      • title = {Style Machines},
      • booktitle = {ACM SIGGRAPH},
      • year = 2000,
      • pages = {183--192},
      • month = jul,
      • isbn = {1-58113-208-5},
      • url = {https://www.merl.com/publications/TR2000-14}
      • }
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Abstract:

We approach the problem of stylistic motion synthesis by learning motion patterns from a highly varied set of motion capture sequences. Each sequence may have a distinct choreography, performed in a distinct style. Learning identifies common choreographic elements across sequences, the different styles in which each element is performed, and a small number of stylistic degrees of freedom which span the many variations in the dataset. The learned model can synthesize novel motion data in any interpolation or extrapolation of styles. For example, it can convert novice ballet motions into the more graceful modern dance of an expert. The model can also be driven by video, by scripts, or even by noise to generate new choreography and synthesize virtual motion-capture in many styles.

 

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    •  NEWS    ACM SIGGRAPH 2000: 5 publications by Hanspeter Pfister, Ron Perry, Matthew Brand, Jeroen van Baar and Ramesh Raskar
      Date: July 23, 2000
      Where: ACM SIGGRAPH
      MERL Contact: Matthew Brand
      Brief
      • The papers "Adaptively Sampled Distance Fields: A General Representation of Shape for Computer Graphics" by Frisken, S.F., Perry, R.N., Rockwood, A.P. and Jones, T.R., "Style Machines" by Brand, M.E. and Hertzmann, A., "Surfels: Surface Elements as Rendering Primitives" by Pfister, H., Zwicker, M., van Baar, J. and Gross, M., "Tangible Interactions and Graphical Interpretation: A New Approach to 3D Modeling" by Anderson, D., Frankel, J.L., Marks, J.W., Agarwala, A., Beardsley, P.A., Hodgins, J.K., Leigh, D.L., Ryall, K., Sullivan, E. and Yedidia, J.S. and "Image-Based Visual Hulls" by Matusik, W., Buehler, C., Raskar, R., Gortler, S.J. and McMillan, L. were presented at ACM SIGGRAPH.
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