<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-X4W794KD</identifier><date>2022</date><creator>Čehovin Zajc, Luka</creator><creator>Modic, Leon</creator><relation>documents/doc/X/URN_NBN_SI_doc-X4W794KD_001.pdf</relation><relation>documents/doc/X/URN_NBN_SI_doc-X4W794KD_001.txt</relation><format format_type="type">article</format><format format_type="extent">Str. 402-405</format><identifier identifier_type="COBISSID_HOST">122222083</identifier><identifier identifier_type="ISSN">2591-0442</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-X4W794KD</identifier><language>eng</language><publisher publisher_location="Ljubljana">Fakulteta za elektrotehniko</publisher><publisher publisher_location="Ljubljana">Slovenska sekcija IEEE</publisher><source>Zbornik mednarodne Elektrotehniške in računalniške konference</source><rights>InC</rights><subject language_type_id="eng">augmented reality</subject><subject language_type_id="eng">computer graphics</subject><subject language_type_id="eng">deep learning</subject><subject language_type_id="slv">globoko učenje</subject><subject language_type_id="slv">obogatena resničnost</subject><subject language_type_id="slv">računalniška grafika</subject><subject language_type_id="slv">sintetični podatki</subject><subject language_type_id="eng">synthetic data</subject><title>Towards fast lighting condition inference for augmented reality</title></Record>