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At the core of our method lies a deep architecture. We propose a data-driven scene flow estimation algorithm exploiting the observation that many 3D scenes can be explained by a collection of agents moving as rigid bodies.

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Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J.

  • Weakly Supervised Learning of Rigid 3D Scene Flow.
  • The experimental results show that the algorithm is not only invariant to translation, rotation, and scaling, but also. The 35 3D models are from the SHREC 2011 non-rigid 3D shape dataset.

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    Once the printing is complete, you immerse it in water.

  • It can be used in a standard 3D printer extruder to form parts that support other objects, and it sticks to a heated, glass print bed well.











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