Data-driven simulation in fluids animation: A survey
Q Chen, Y Wang, H Wang, X Yang - Virtual Reality & Intelligent Hardware, 2021 - Elsevier
The field of fluid simulation is developing rapidly, and data-driven methods provide many
frameworks and techniques for fluid simulation. This paper presents a survey of data-driven …
frameworks and techniques for fluid simulation. This paper presents a survey of data-driven …
Fluids and Deep Learning: A Brief Review
G Antonio Giraldi, LR Almeida… - Deep Learning for Fluid …, 2023 - Springer
This chapter surveys deep learning models for fluid simulation and rendering. Regarding the
former, we can group the works into small and large-scale fluid simulation, the interaction of …
former, we can group the works into small and large-scale fluid simulation, the interaction of …
[图书][B] Deep Learning for Fluid Simulation and Animation: Fundamentals, Modeling, and Case Studies
GA Giraldi, LR de Almeida, AL Apolinário Jr… - 2023 - books.google.com
This book is an introduction to the use of machine learning and data-driven approaches in
fluid simulation and animation, as an alternative to traditional modeling techniques based on …
fluid simulation and animation, as an alternative to traditional modeling techniques based on …
Modeling Fluids Through Neural Networks
G Antonio Giraldi, LR Almeida… - Deep Learning for Fluid …, 2023 - Springer
The process of applying neural networks to yield data-driven models for fluid simulation can
be described in six steps:(1) Problem formulation;(2) Data generation, annotation, and …
be described in six steps:(1) Problem formulation;(2) Data generation, annotation, and …
Deep Learning for Fluid Simulation and Animation
GA Giraldi, LR de Almeida, AL Apolinário Jr… - Springer
Since 1990s, physically based approaches have become an important tool that enabled
animators to control the behavior of the objects using laws of physics. Fluid animation can …
animators to control the behavior of the objects using laws of physics. Fluid animation can …