miscellaneous-3

Physical Simulations

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in physical-simulations-6

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Dataset

Best Model

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No benchmarks available.

Libraries

i

Use these libraries to find physical-simulations-6 models and implementations

Datasets

ABC Dataset

PlasticineLab

CAMELS Multifield Dataset

ClimART

Expressive Gaussian mixture models for high-dimensional statistical modelling: simulated data and neural network model files

Subtasks

Neural Network simulation Optical Tweezers Simulations Liquid Simulation

Most implemented papers

DiffTaichi: Differentiable Programming for Physical Simulation

F. Durand, Yuanming Hu, Tzu-Mao Li, Luke Anderson, Qi Sun, N. Carr, Jonathan Ragan-Kelley•Tue Sep 24 2019

DiffTaichi, a new differentiable programming language tailored for building high-performance differentiable physical simulators based on an imperative programming language, generates gradients of simulation steps using source code transformations that preserve arithmetic intensity and parallelism.

444

Content

A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances

2D_NACA_RANS

Workshop Tools Dataset

DrivAerNet

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Paper Graph

UnrealCV: Connecting Computer Vision to Unreal Engine

A. Yuille, Weichao Qiu•Sun Sep 04 2016

An open-source plugin UnrealCV is created for a popular game engine Unreal Engine 4 (UE4) to enable researchers to build on these resources to create virtual worlds, provided they can access and modify the internal data structures of the games.

283 0

Paper Graph

Physics-driven Fire Modeling from Multi-view Images

Yong-Liang Yang, Garoe Dorta, L. Benedetti, Dmitry Kit•Fri Apr 13 2018

This paper presents a novel method of reconstructing physically valid fire models from multi-view stereo images that provides plausible estimation of physical properties of a fire volume using RGB cameras for the first time.

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Is That a Chair? Imagining Affordances Using Simulations of an Articulated Human Body

Hongtao Wu, Deven Misra, G. Chirikjian•Mon Sep 16 2019

This paper proposes a novel method to provide robots with an ability to imagine object affordances using physical simulations, and demonstrates that the functional pose predictions of the method align well with human judgments on both synthetic models and real objects scanned by a depth camera.

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3D mesh processing using GAMer 2 to enable reaction-diffusion simulations in realistic cellular geometries

R. Ramamoorthi, Christopher T. Lee, Justin G. Laughlin, Nils Angliviel de La Beaumelle, Rommie E. Amaro, J. McCammon, M. Holst, P. Rangamani•Mon Dec 16 2019

This paper describes the use of the recently rewritten mesh processing software, GAMer 2, to bridge the gap between poorly conditioned meshes generated from segmented micrographs and boundary marked tetrahedral meshes which are compatible with simulation.

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Paper Graph

Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders

Bjoern H Menze, M. Davies, Mohammad Golbabaee, Carolin M. Pirkl, M. Menzel, Guido Bounincontri, Pedro A. Gómez•Wed Jan 22 2020

Tested on a number of datasets, the proposed scheme for recovering accurate and consistent quantitative information from novel and aggressively subsampled 2D/3D quantitative MRI acquisition protocols demonstrates effectiveness.

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Paper Graph

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