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Physical Simulations

3 papers with code · Miscellaneous


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DiffTaichi: Differentiable Programming for Physical Simulation

ICLR 2020 yuanming-hu/difftaichi

We present DiffTaichi, a new differentiable programming language tailored for building high-performance differentiable physical simulators.


UnrealCV: Connecting Computer Vision to Unreal Engine

5 Sep 2016unrealcv/unrealcv

Computer graphics can not only generate synthetic images and ground truth but it also offers the possibility of constructing virtual worlds in which: (i) an agent can perceive, navigate, and take actions guided by AI algorithms, (ii) properties of the worlds can be modified (e. g., material and reflectance), (iii) physical simulations can be performed, and (iv) algorithms can be learnt and evaluated.


Lagrangian Fluid Simulation with Continuous Convolutions

ICLR 2020 intel-isl/DeepLagrangianFluids

We present an approach to Lagrangian fluid simulation with a new type of convolutional network.


DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials

3 May 2020ArashRabbani/DeePore

DeePore is a deep learning workflow for rapid estimation of a wide range of porous material properties based on the binarized micro-tomography images.