Data-Driven Methods for Artist-Directed Fluid Simulations

학과 특강입니다.

1. 일시 : 2021년 2월 5일 (금) 13:00-14:30
2. 장소 : 아산이학관 525호 및 Zoom을 이용한 실시간 온라인 강연 동시 진행
3. 연사 : 김병수 박사 (ETH Zuric)

4. 제목 : Data-Driven Methods for Artist-Directed Fluid Simulations
5. 초록 : Fluid phenomena are ubiquitous to our world experience: winds swooshing through trembling leaves, turbulent water streams running down a river, and cellular patterns generated from wrinkled flames are some few examples. These complex phenomena capture our attention and awe due to the beautifully materialized complex patterns and become crucial elements to artistically support storytelling. In virtual environments, however, sophisticated manipulation of animated flow structures is still a burdensome task. Given the amount of available fluid simulation data, data-driven approaches have emerged as attractive solutions. In this talk, I will present our recent works on data-driven methods for art-directable fluid simulations.

이 특강은 유상현 교수님께서 주관하십니다.