SG-VAE: Scene Grammar Variational Autoencoder to Generate New Indoor Scenes

Pulak Purkait, Christopher Zach, Ian Reid 0001. SG-VAE: Scene Grammar Variational Autoencoder to Generate New Indoor Scenes. In Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm, editors, Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIV. Volume 12369 of Lecture Notes in Computer Science, pages 155-171, Springer, 2020. [doi]

@inproceedings{PurkaitZR20,
  title = {SG-VAE: Scene Grammar Variational Autoencoder to Generate New Indoor Scenes},
  author = {Pulak Purkait and Christopher Zach and Ian Reid 0001},
  year = {2020},
  doi = {10.1007/978-3-030-58586-0_10},
  url = {https://doi.org/10.1007/978-3-030-58586-0_10},
  researchr = {https://researchr.org/publication/PurkaitZR20},
  cites = {0},
  citedby = {0},
  pages = {155-171},
  booktitle = {Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIV},
  editor = {Andrea Vedaldi and Horst Bischof and Thomas Brox and Jan-Michael Frahm},
  volume = {12369},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-58586-0},
}