“Stylizing Volumes with Neural Networks” by Navarro and Rice
Conference:
Type(s):
Interest Area:
- Production & Animation, Research / Education, and Rendering
Entry Number: 54
Title:
- Stylizing Volumes with Neural Networks
Session/Category Title: Rendering - Art
Presenter(s)/Author(s):
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.
References:
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge. 2015. A Neural Algorithm of Artistic Style. arXiv:1508.06576 [cs.CV]
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
Keyword(s):
- neural network
- style transfer
- style optimization
- deep learning
- image net
- AI/Machine Learning
- lagrangian
- volumes
