RenderNet: A deep convolutional network for differentiable rendering from 3D shapes

Thu Nguyen-Phuoc, Chuan Li, Stephen Balaban, Yong-Liang Yang. RenderNet: A deep convolutional network for differentiable rendering from 3D shapes. In Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett, editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada. pages 7902-7912, 2018. [doi]

@inproceedings{Nguyen-PhuocLBY18,
  title = {RenderNet: A deep convolutional network for differentiable rendering from 3D shapes},
  author = {Thu Nguyen-Phuoc and Chuan Li and Stephen Balaban and Yong-Liang Yang},
  year = {2018},
  url = {http://papers.nips.cc/paper/8014-rendernet-a-deep-convolutional-network-for-differentiable-rendering-from-3d-shapes},
  researchr = {https://researchr.org/publication/Nguyen-PhuocLBY18},
  cites = {0},
  citedby = {0},
  pages = {7902-7912},
  booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada},
  editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicolò Cesa-Bianchi and Roman Garnett},
}