Understanding causes and effects in mechanical systems is an essential component of reasoning in the physical world. This work poses a new problem of counterfactual learning of object mechanics from visual input. We develop the COPHY benchmark to assess the capacity of the state-of-the-art models for causal physical reasoning in a synthetic 3D environment and propose a model for learning the physical dynamics in a counterfactual setting.

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[1] Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf, "Cophy: Counterfactual Learning of Physical Dynamics", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/ps5q-8m55. Accessed: Feb. 21, 2024.
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doi = {10.21227/ps5q-8m55},
url = {http://dx.doi.org/10.21227/ps5q-8m55},
author = {Fabien Baradel; Natalia Neverova; Julien Mille; Greg Mori; Christian Wolf },
publisher = {IEEE Dataport},
title = {Cophy: Counterfactual Learning of Physical Dynamics},
year = {2020} }
TY - DATA
T1 - Cophy: Counterfactual Learning of Physical Dynamics
AU - Fabien Baradel; Natalia Neverova; Julien Mille; Greg Mori; Christian Wolf
PY - 2020
PB - IEEE Dataport
UR - 10.21227/ps5q-8m55
ER -
Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf. (2020). Cophy: Counterfactual Learning of Physical Dynamics. IEEE Dataport. http://dx.doi.org/10.21227/ps5q-8m55
Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf, 2020. Cophy: Counterfactual Learning of Physical Dynamics. Available at: http://dx.doi.org/10.21227/ps5q-8m55.
Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf. (2020). "Cophy: Counterfactual Learning of Physical Dynamics." Web.
1. Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf. Cophy: Counterfactual Learning of Physical Dynamics [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/ps5q-8m55
Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf. "Cophy: Counterfactual Learning of Physical Dynamics." doi: 10.21227/ps5q-8m55