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Digital Ira: creating a real-time photoreal digital actor

Published:21 July 2013Publication History

ABSTRACT

Overview In 2008, the "Digital Emily" project [Alexander et al. 2009] showed how a set of high-resolution facial expressions scanned in a light stage could be rigged into a real-time photoreal digital character and driven with video-based facial animation techniques. However, Digital Emily was rendered offline, involved just the front of the face, and was never seen in a tight closeup. In this collaboration between Activision and USC ICT shown at SIGGRAPH 2013's Real-Time Live venue, we endeavoured to create a real-time, photoreal digital human character which could be seen from any viewpoint, in any lighting, and could perform realistically from video performance capture even in a tight closeup. In addition, we wanted this to run in a real-time game-ready production pipeline, ultimately achieving 180 frames per second for a full-screen character on a two-year old graphics card.

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References

  1. Alexander, O., Rogers, M., Lambeth, W., Chiang, M., and Debevec, P. 2009. Thedigital emily project: photoreal facial modeling and animation. In ACM SIGGRAPH 2009 Courses, ACM, New York, NY, USA, SIGGRAPH '09, 12:1--12:15. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Ghosh, A., Fyffe, G., Tunwattanapong, B., Busch, J., Yu, X., and Debevec, P. 2011. Multiview face capture using polarized spherical gradient illumination. ACM Trans. Graph. 30, 6 (Dec.), 129:1--129:10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Jimenez, J., Jarabo, A., Gutierrez, D., Danvoye, E., and von der Pahlen, J. 2012. Separable subsurface scattering and photorealistic eyes rendering. In ACM SIGGRAPH 2012 Courses, ACM, New York, NY, USA, SIGGRAPH 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      SIGGRAPH '13: ACM SIGGRAPH 2013 Posters
      July 2013
      115 pages
      ISBN:9781450323420
      DOI:10.1145/2503385

      Copyright © 2013 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 21 July 2013

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      Overall Acceptance Rate1,822of8,601submissions,21%

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