Neural rendering using trained albedo textures

Methods and systems are disclosed for performing operations for generating a photorealistic rendering of an object. The operations include: accessing a set of albedo textures and a machine learning model associated with a real-world object, the set of albedo textures and a machine learning model hav...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Vasilkovskii, Mikhail, Demyanov, Sergey, Shakhrai, Vladislav, Stoliar, Aleksei
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page
container_issue
container_start_page
container_title
container_volume
creator	Vasilkovskii, Mikhail Demyanov, Sergey Shakhrai, Vladislav Stoliar, Aleksei
description	Methods and systems are disclosed for performing operations for generating a photorealistic rendering of an object. The operations include: accessing a set of albedo textures and a machine learning model associated with a real-world object, the set of albedo textures and a machine learning model having been trained based on a plurality of viewpoints of the real-world object; obtaining a three-dimensional (3D) mesh of the real-world object; receiving input that selects a new viewpoint that differs from the plurality of viewpoints of the real-world object; and generating a photorealistic rendering of the real-world object from the new viewpoint based on the 3D mesh of the real-world object, the set of albedo textures, and the machine learning model associated with the real-world object.
format	Patent
fullrecord	<record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US12020392B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US12020392B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US12020392B23</originalsourceid><addsrcrecordid>eNrjZNDzSy0tSsxRKErNS0ktysxLVygtBpElRYmZeakpCok5Sakp-QolqRUlpUWpxTwMrGmJOcWpvFCam0HRzTXE2UM3tSA_PrW4IDE5NS-1JD402NDIwMjA2NLIyciYGDUAGhcq7A</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Neural rendering using trained albedo textures</title><source>esp@cenet</source><creator>Vasilkovskii, Mikhail ; Demyanov, Sergey ; Shakhrai, Vladislav ; Stoliar, Aleksei</creator><creatorcontrib>Vasilkovskii, Mikhail ; Demyanov, Sergey ; Shakhrai, Vladislav ; Stoliar, Aleksei</creatorcontrib><description>Methods and systems are disclosed for performing operations for generating a photorealistic rendering of an object. The operations include: accessing a set of albedo textures and a machine learning model associated with a real-world object, the set of albedo textures and a machine learning model having been trained based on a plurality of viewpoints of the real-world object; obtaining a three-dimensional (3D) mesh of the real-world object; receiving input that selects a new viewpoint that differs from the plurality of viewpoints of the real-world object; and generating a photorealistic rendering of the real-world object from the new viewpoint based on the 3D mesh of the real-world object, the set of albedo textures, and the machine learning model associated with the real-world object.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240625&DB=EPODOC&CC=US&NR=12020392B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240625&DB=EPODOC&CC=US&NR=12020392B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Vasilkovskii, Mikhail</creatorcontrib><creatorcontrib>Demyanov, Sergey</creatorcontrib><creatorcontrib>Shakhrai, Vladislav</creatorcontrib><creatorcontrib>Stoliar, Aleksei</creatorcontrib><title>Neural rendering using trained albedo textures</title><description>Methods and systems are disclosed for performing operations for generating a photorealistic rendering of an object. The operations include: accessing a set of albedo textures and a machine learning model associated with a real-world object, the set of albedo textures and a machine learning model having been trained based on a plurality of viewpoints of the real-world object; obtaining a three-dimensional (3D) mesh of the real-world object; receiving input that selects a new viewpoint that differs from the plurality of viewpoints of the real-world object; and generating a photorealistic rendering of the real-world object from the new viewpoint based on the 3D mesh of the real-world object, the set of albedo textures, and the machine learning model associated with the real-world object.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNDzSy0tSsxRKErNS0ktysxLVygtBpElRYmZeakpCok5Sakp-QolqRUlpUWpxTwMrGmJOcWpvFCam0HRzTXE2UM3tSA_PrW4IDE5NS-1JD402NDIwMjA2NLIyciYGDUAGhcq7A</recordid><startdate>20240625</startdate><enddate>20240625</enddate><creator>Vasilkovskii, Mikhail</creator><creator>Demyanov, Sergey</creator><creator>Shakhrai, Vladislav</creator><creator>Stoliar, Aleksei</creator><scope>EVB</scope></search><sort><creationdate>20240625</creationdate><title>Neural rendering using trained albedo textures</title><author>Vasilkovskii, Mikhail ; Demyanov, Sergey ; Shakhrai, Vladislav ; Stoliar, Aleksei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US12020392B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Vasilkovskii, Mikhail</creatorcontrib><creatorcontrib>Demyanov, Sergey</creatorcontrib><creatorcontrib>Shakhrai, Vladislav</creatorcontrib><creatorcontrib>Stoliar, Aleksei</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Vasilkovskii, Mikhail</au><au>Demyanov, Sergey</au><au>Shakhrai, Vladislav</au><au>Stoliar, Aleksei</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Neural rendering using trained albedo textures</title><date>2024-06-25</date><risdate>2024</risdate><abstract>Methods and systems are disclosed for performing operations for generating a photorealistic rendering of an object. The operations include: accessing a set of albedo textures and a machine learning model associated with a real-world object, the set of albedo textures and a machine learning model having been trained based on a plurality of viewpoints of the real-world object; obtaining a three-dimensional (3D) mesh of the real-world object; receiving input that selects a new viewpoint that differs from the plurality of viewpoints of the real-world object; and generating a photorealistic rendering of the real-world object from the new viewpoint based on the 3D mesh of the real-world object, the set of albedo textures, and the machine learning model associated with the real-world object.</abstract><oa>free_for_read</oa></addata></record>
fulltext	fulltext_linktorsrc
identifier
ispartof
issn
language	eng
recordid	cdi_epo_espacenet_US12020392B2
source	esp@cenet
subjects	CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS
title	Neural rendering using trained albedo textures
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T21%3A42%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Vasilkovskii,%20Mikhail&rft.date=2024-06-25&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS12020392B2%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true