Differentiable Physics Simulation of Dynamics-Augmented Neural Objects
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DOI: 10.1109/lra.2023.3257707
Abstract: We present a differentiable pipeline for simulating the motion of objects that represent their geometry as a continuous density field parameterized as a deep network. This includes Neural Radiance Fields (NeRFs), and other related models.… read more here.
Keywords: neural objects; density field; physics; dynamics augmented ... See more keywords