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Stylizing Volumes with Neural Networks

Published: 06 August 2021 Publication History

Abstract

In ”Raya and The Last Dragon”, a blast of energy rings across the desiccated lands of the ancient world of Kumandra. This climactic story point represents a powerful force of magic and transformation, and as such, is art directed to be composed of stylized wave patterns and harmonic textures, as if created by sound vibrations. To achieve this, we artistically stylize a simulated volume using Neural Style Transfer. In this talk, we describe the integration of deep learning-based tools into our effects pipeline to accomplish this.

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References

[1]
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge. 2015. A Neural Algorithm of Artistic Style. arxiv:1508.06576 [cs.CV]
[2]
Byungsoo Kim, Vinicius C. Azevedo, Markus Gross, and Barbara Solenthaler. 2020. Lagrangian Neural Style Transfer for Fluids. ACM Trans. Graph. 39, 4, Article 52 (July 2020), 10 pages. https://doi.org/10.1145/3386569.3392473

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

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Publication History

Published: 06 August 2021

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Author Tags

  1. deep learning
  2. fluids
  3. image net
  4. lagrangian
  5. machine learning
  6. neural network
  7. style optimization
  8. style transfer
  9. volumes

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