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		<doi>10.1109/SIBGRAPI54419.2021.00012</doi>
		<citationkey>SchirmerSSNYMPVL:2021:NeNeIm</citationkey>
		<title>Neural Networks for Implicit Representations of 3D Scenes</title>
		<format>On-line</format>
		<year>2021</year>
		<numberoffiles>1</numberoffiles>
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		<author>Schirmer, Luiz,</author>
		<author>Schardong, Guilherme,</author>
		<author>Silva, Vinícius da,</author>
		<author>Novello, Tiago,</author>
		<author>Yukimura, Daniel,</author>
		<author>Magalhães, Thales,</author>
		<author>Paz, Hallison,</author>
		<author>Velho, Luiz,</author>
		<author>Lopes, Hélio,</author>
		<affiliation>PUC-Rio </affiliation>
		<affiliation>PUC-Rio </affiliation>
		<affiliation>PUC-Rio </affiliation>
		<affiliation>IMPA </affiliation>
		<affiliation>IMPA </affiliation>
		<affiliation>IMPA </affiliation>
		<affiliation>IMPA </affiliation>
		<affiliation>IMPA </affiliation>
		<affiliation>PUC-Rio</affiliation>
		<editor>Paiva, Afonso ,</editor>
		<editor>Menotti, David ,</editor>
		<editor>Baranoski, Gladimir V. G. ,</editor>
		<editor>Proença, Hugo Pedro ,</editor>
		<editor>Junior, Antonio Lopes Apolinario ,</editor>
		<editor>Papa, João Paulo ,</editor>
		<editor>Pagliosa, Paulo ,</editor>
		<editor>dos Santos, Thiago Oliveira ,</editor>
		<editor>e Sá, Asla Medeiros ,</editor>
		<editor>da Silveira, Thiago Lopes Trugillo ,</editor>
		<editor>Brazil, Emilio Vital ,</editor>
		<editor>Ponti, Moacir A. ,</editor>
		<editor>Fernandes, Leandro A. F. ,</editor>
		<editor>Avila, Sandra,</editor>
		<e-mailaddress>schirmer.luizj@gmail.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 34 (SIBGRAPI)</conferencename>
		<conferencelocation>Gramado, RS, Brazil (virtual)</conferencelocation>
		<date>18-22 Oct. 2021</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Tutorial</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>Neural Networks, Implicit Functions, Signal Distance Functions.</keywords>
		<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.</abstract>
		<language>en</language>
		<targetfile>Tutorial_Sibgrapi_2021 (2).pdf</targetfile>
		<usergroup>schirmer.luizj@gmail.com</usergroup>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi/2021/09.11.20.09</url>
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