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		<identifier>8JMKD3MGPEW34M/45DPE5L</identifier>
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		<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>
		<size>5299 KiB</size>
		<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 (Virtual), Brazil</conferencelocation>
		<date>October 18th to October 22nd, 2021</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Tutorial</tertiarytype>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
		<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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