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Freezing Fire – Automated Light-Passes for Stop-Motion VFX

Published:06 August 2021Publication History

ABSTRACT

This work proposes and evaluates a method of image-based rendering for integrating light-emitting CG assets with digital photography. The framework consists of a capture stage, in which footage of the scene under varied lighting is acquired, and a reconstruction stage, which outputs the calculated light contribution of the CG element upon the scene. This form of relighting is novel as it embraces scenarios where the light source is intended to be in the frame. The freedom to introduce emissive objects in post opens creative room for light animation and was assessed here as employed in the production of a stop-motion short-film.

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References

  1. Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, and Tobias Ritschel. 2020. X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation. ACM Trans. Graph. 39, 6, Article 257 (Nov. 2020), 15 pages. https://doi.org/10.1145/3414685.3417827Google ScholarGoogle ScholarDigital LibraryDigital Library
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    • Published in

      cover image ACM Conferences
      SIGGRAPH '21: ACM SIGGRAPH 2021 Talks
      July 2021
      116 pages
      ISBN:9781450383738
      DOI:10.1145/3450623

      Copyright © 2021 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 August 2021

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