Neural Networks for Implicit Representations of 3D Scenes

  • Luiz Schirmer PUC-Rio
  • Guilherme Schardong PUC-Rio
  • Vinícius da Silva PUC-Rio
  • Hélio Lopes PUC-Rio
  • Tiago Novello IMPA
  • Daniel Yukimura IMPA
  • Thales Magalhaes IMPA
  • Hallison Paz IMPA
  • Luiz Velho IMPA


This survey presents methods that use neural networks for implicit representations of 3D geometry — neural implicit functions. We explore the different aspects of neural implicit functions for shape modeling and synthesis. We aim to provide a theoretical analysis of 3D shape reconstruction using deep neural networks and introduce a discussion between researchers interested in this research field.
Palavras-chave: Geometry, Deep learning, Three-dimensional displays, Shape, Neural networks, Image reconstruction, Neural Networks, Signal Distance Functions, Implicit Representations
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SCHIRMER, Luiz et al. Neural Networks for Implicit Representations of 3D Scenes. In: CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 34. , 2021, Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 .