Lagrangian Neural Style Transfer for Fluids

Byungsoo Kim, Vinicius C. Azevedo, Markus Gross, Barbara Solenthaler Artistically controlling the shape, motion and appearance of fluid simulations pose major challenges in visual effects production. In this paper, we present a neural style transfer approach from images to 3D fluids formulated in a Lagrangian viewpoint. Using particles for style transfer has unique benefits compared […]