Neural Monte Carlo Fluid Simulation
The idea of using a neural network to represent continuous vector fields (i.e., neural fields) has become popular for solving PDEs arising from physics simulations. Here, the classical spatial discretization (e.g., finite difference) of PDE solvers is replaced with a neural network that models a dif...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
ACM|Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24
2024
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| Online Access: | https://hdl.handle.net/1721.1/155925 |