Rivers of Rodents: An Animation-Centric Crowds Pipeline for
Ratatouille David Ryu, Paul Kanyuk May 2007 One of the major technical challenges in the animated film Ratatouille was creating a believable rat colony. In numbers as high as a thousand, these rats participated in highly complex and coordinated behaviors ranging from chaotic swarming to gourmet cooking. Often, the colony was ... more Paper (PDF) Available as Pixar Technical Memo #07-02 | |
Creating Elemental Characters: From Sparks to Fire Jonathan Hoffman, Te Hu, Paul Kanyuk, Stephen Marshall, George Nguyen, Hope Schroers, Patrick Witting May 2023 Pixar has a long history of creating high-quality effects and characters that aid in the telling of wonderful stories. With Disney and Pixar's Elemental, we have taken the next groundbreaking step in creating fully simulated, animated, and stylized characters. In this talk, we will present the framework and process that ... more Paper (PDF) SIGGRAPH Talks 2023 | |
Everybody's an Effect: Scalable Volumetric Crowds on Elemental Sasha Ouellet, Aksel Taylan, Arnold Moon, Paul Kanyuk, William Reeves May 2023 Crowd animation and rendering is challenging enough with hard surface models, but the world of Elemental takes this to a new level by immersing the viewer in a teeming metropolis populated by sentient air, fire, and water, in the form of volumetric characters. By building a new Houdini-Engine character pipeline ... more Paper (PDF) SIGGRAPH Talks 2023 | |
Singed Silhouettes and Feed Forward Flames: Volumetric Neural Style Transfer for Expressive Fire Simulation Paul Kanyuk, Vinicius C. Azevedo, Raphael Ortiz, Jingwei Tang May 2023 While controlling simulated gaseous volumes remains an ongoing battle when seeking realism in computer graphics, creating appealing characters entirely out of these simulations brought this challenge to an entirely new level in Pixar's film Elemental. For fire characters, like the protagonist Ember, their faces and bodies needed to look and ... more Paper (PDF) SIGGRAPH Talks 2023 | |
Controllable Neural Style Transfer for Dynamic Meshes Guilherme G. Haetinger, Jingwei Tang, Raphael Ortiz, Paul Kanyuk, Vinicius C. Azevedo July 2024 In recent years, animation movies are shifting from realistic representations to more stylized depictions that support unique design languages. To favor that, recent works implemented a Neural Style Transfer (NST) pipeline that supports the stylization of 3D assets by 2D images. In this paper we propose a novel mesh stylization ... more Paper (PDF) SIGGRAPH 2024 |