@InProceedings{SchirmerSSNYMPVL:2021:NeNeIm,
author = "Schirmer, Luiz and Schardong, Guilherme and Silva,
Vin{\'{\i}}cius da and Novello, Tiago and Yukimura, Daniel and
Magalh{\~a}es, Thales and Paz, Hallison and Velho, Luiz and
Lopes, H{\'e}lio",
affiliation = "PUC-Rio and PUC-Rio and PUC-Rio and IMPA and IMPA and IMPA
and IMPA and IMPA and PUC-Rio",
title = "Neural Networks for Implicit Representations of 3D Scenes",
booktitle = "Proceedings...",
year = "2021",
editor = "Paiva, Afonso and Menotti, David and Baranoski, Gladimir V. G. and
Proen{\c{c}}a, Hugo Pedro and Junior, Antonio Lopes Apolinario
and Papa, Jo{\~a}o Paulo and Pagliosa, Paulo and dos Santos,
Thiago Oliveira and e S{\'a}, Asla Medeiros and da Silveira,
Thiago Lopes Trugillo and Brazil, Emilio Vital and Ponti, Moacir
A. and Fernandes, Leandro A. F. and Avila, Sandra",
organization = "Conference on Graphics, Patterns and Images, 34. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Neural Networks, Implicit Functions, Signal Distance Functions.",
abstract = "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.",
conference-location = "Gramado, RS, Brazil (virtual)",
conference-year = "18-22 Oct. 2021",
doi = "10.1109/SIBGRAPI54419.2021.00012",
url = "http://dx.doi.org/10.1109/SIBGRAPI54419.2021.00012",
language = "en",
ibi = "8JMKD3MGPEW34M/45DPE5L",
url = "http://urlib.net/ibi/8JMKD3MGPEW34M/45DPE5L",
targetfile = "Tutorial_Sibgrapi_2021 (2).pdf",
urlaccessdate = "2024, May 06"
}