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Streamlining IBL workflows with computer vision and USD

Authors :
Stefano Cieri
Alexander Schwank
Source :
SIGGRAPH Talks
Publication Year :
2019
Publisher :
ACM, 2019.

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.

Details

Database :
OpenAIRE
Journal :
ACM SIGGRAPH 2019 Talks
Accession number :
edsair.doi...........e14c93bdc3f0e5db8b1a71d0fe34cc0b
Full Text :
https://doi.org/10.1145/3306307.3328170