METHOD OF TRAINING A NEURAL NETWORK CONFIGURED FOR CONVERTING 2D IMAGES INTO 3D MODELS

A computer-implemented method of generating of a database for training a neural network configured for converting 2d images into 3d models comprising steps of: (a) obtaining 3d models; (b) rendering said 3d models in a 2d format from at least one view point; and (c) collecting pairs further comprisi...

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Bibliographic Details
Main Authors GREEN, Amir, TAMIR, Michael, KEINAN, Shirley, KAGARLITSKY, Vsevolod, MOKEICHEV, Alik, BIRNBOIM, Michael, WOHLSTADTER, Gil, BARUCH, Yair, HEKER, Michal, TALMON, Gilad
Format Patent
LanguageEnglish
French
German
Published 02.10.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
PICTORIAL COMMUNICATION, e.g. TELEVISION
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Summary:A computer-implemented method of generating of a database for training a neural network configured for converting 2d images into 3d models comprising steps of: (a) obtaining 3d models; (b) rendering said 3d models in a 2d format from at least one view point; and (c) collecting pairs further comprising said rendered 2d image frame and said corresponding sampled 3d models each.
Bibliography:Application Number: EP20220736708