Tobias Pfaff
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  • Publications
  • Projects
  • Projects
    • Imagen 3
    • Veo
    • Grim Fandango Remastered
    • ARCSim
    • MantaFlow
  • Publications
    • Imagen 3
    • Learning rigid-body simulators over implicit shapes
    • Graph network simulators can learn discontinuous, rigid contact dynamics
    • Learning 3D Particle-based Simulators from RGB-D Videos
    • Learning rigid dynamics with face interaction graph networks
    • Multiscale meshgraphnets
    • Physical Design using Differentiable Learned Simulators
    • Predicting Physics in Mesh-reduced Space with Temporal Attention
    • Constraint-based graph network simulator
    • Learned Coarse Models for Efficient Turbulence Simulation
    • Learning ground states of quantum hamiltonians with graph networks
    • Learning mesh-based simulation with graph networks
    • Combining q-learning and search with amortized value estimates
    • Learning to simulate complex physics with graph networks
    • Grandmaster level in StarCraft II using multi-agent reinforcement learning
    • One-shot high-fidelity imitation: Training large-scale deep nets with rl
    • Playing hard exploration games by watching youtube
    • Adaptive tearing and cracking of thin sheets
    • Folding and crumpling adaptive sheets
    • Lagrangian vortex sheets for animating fluids
    • Scalable fluid simulation using anisotropic turbulence particles
    • Field-scale apparent hydraulic parameterisation obtained from TDR time series and inverse modelling
    • Synthetic turbulence using artificial boundary layers

MantaFlow

Jan 1, 2010 · 1 min read
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Mantaflow is a open-source framework for fluid simulation, developed by Nils Thurey and me at ETHZ. It is now integrated as the default fluid solver in Blender.

Last updated on Jan 1, 2010
Open Source
Tobias Pfaff
Authors
Tobias Pfaff
Research Scientist
← ARCSim Jul 13, 2013

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