Quantifying Point Cloud Realism Through Adversarially Learned Latent Representations

Larissa T. Triess, David Peter, Stefan A. Baur, J. Marius Zöllner. Quantifying Point Cloud Realism Through Adversarially Learned Latent Representations. In Christian Bauckhage, Juergen Gall, Alexander G. Schwing, editors, Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 - October 1, 2021, Proceedings. Volume 13024 of Lecture Notes in Computer Science, pages 681-696, Springer, 2021. [doi]

@inproceedings{TriessPBZ21,
  title = {Quantifying Point Cloud Realism Through Adversarially Learned Latent Representations},
  author = {Larissa T. Triess and David Peter and Stefan A. Baur and J. Marius Zöllner},
  year = {2021},
  doi = {10.1007/978-3-030-92659-5_44},
  url = {https://doi.org/10.1007/978-3-030-92659-5_44},
  researchr = {https://researchr.org/publication/TriessPBZ21},
  cites = {0},
  citedby = {0},
  pages = {681-696},
  booktitle = {Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 - October 1, 2021, Proceedings},
  editor = {Christian Bauckhage and Juergen Gall and Alexander G. Schwing},
  volume = {13024},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-92659-5},
}