Stefano Cieri
ABSTRACT
DNEG is constantly improving its global tools and processes to make them more efficient and artist-friendly, while leveraging state-of-the-art technologies and trends in the industry. The special requirements for Sony Pictures'Venom movie were the perfect opportunity for us to improve our Image Based Lighting (IBL) workflows. In this paper we present the iblManager: a semi-automated system to allow fast and artist-friendly extraction of numerous lights from HDR images (HDRIs), using computer vision. The system uses LightCache, a USD-based implementation of light descriptions, to allow cross-DCC usage and pipeline integration.
Supplemental Material
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Supplemental material.
- Paul Debevec. 2006. A Median Cut Algorithm for Light Probe Sampling. In ACM SIGGRAPH 2006 Courses (SIGGRAPH '06). ACM, New York, NY, USA, Article 6. Google Scholar
Digital Library
- Tadao Mihashi, Dan Abrams, Paul Lambert, Marco Maldonado, and Jesse James Chisholm. 2009. The Light Kit: HDRI-Based Area Light System for "The Curious Case of Benjamin Button". In SIGGRAPH 2009 Talks: Two Bolts and a Button.Google Scholar
- Ben Snow. 2010. Terminators and Iron Men: Image-Based Lighting and Physical Shading at ILM. In SIGGRAPH 2010 Course: Physically Based Shading Models in Film and Game Production.Google Scholar
- Alex Suter, Dan Lobl, Victor Schutz, and Brian Gee. 2016. LightCraft: Extract Light Position and Information from On-set Photography. In ACM SIGGRAPH 2016 Talks (SIGGRAPH '16). ACM, New York, NY, USA, Article 15, 2 pages. Google ScholarDigital Library
Index Terms
Streamlining IBL workflows with computer vision and USD
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