Weakly supervised learning of multi-object 3D scene decompositions using deep shape priors

@article{Elich2022WeaklySL,
  title={Weakly supervised learning of multi-object 3D scene decompositions using deep shape priors},
  author={Cathrin Elich and Martin R. Oswald and Marc Pollefeys and Joerg Stueckler},
  journal={Computer Vision and Image Understanding},
  year={2022}
}
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
TLDR
A key feature of this approach is that the learned 3D information of the scene through the NeRF model enables us to incorporate structural priors in learning the dynamics models, making long-term predictions more stable.

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