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Physics-Based Rigid Body Object Tracking and Friction Filtering From RGB-D Videos
In this paper, we propose a novel approach for real-to-sim which tracks rigid objects in 3D from RGB-D images and infers physical properties of the objects.
Learning to Identify Physical Parameters from Video Using Differentiable Physics
Video prediction models often learn a latent representation of video which is encoded from input frames and decoded back into images.
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