Deep Learning for Fluid Simulation and Animation Fundamentals, Modeling, and Case Studies /
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 partial differential equations and numerical methods – and at a lower computational cost. This work starts with a br...
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| Main Authors: | , , , |
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| Korporativna značnica: | |
| Format: | Elektronski eKnjiga |
| Jezik: | angleščina |
| Izdano: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Izdaja: | 1st ed. 2023. |
| Serija: | SpringerBriefs in Mathematics,
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| Teme: | |
| Online dostop: | https://doi.org/10.1007/978-3-031-42333-8 |
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Kazalo:
- Introduction
- Fluids and Deep Learning: A Brief Review
- Fluid Modeling through Navier-Stokes Equations and Numerical Methods
- Why Use Neural Networks for Fluid Animation
- Modeling Fluids through Neural Networks
- Fluid Rendering
- Traditional Techniques
- Advanced Techniques
- Deep Learning in Rendering
- Case Studies
- Perspectives
- Discussion and Final Remarks
- References.