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Preprints of the Keldysh Institute of Applied Mathematics, 2020, 081, 20 pp.
DOI: https://doi.org/10.20948/prepr-2020-81
(Mi ipmp2872)
 

Synthesis of images of interiors for training neural networks

V. A. Frolov, E. D. Feklisov, M. A. Trofimov, A. G. Voloboy
References:
Abstract: The paper proposes a number of methods that can be used to synthesize images of interiors in order to train artificial intelligence. The proposed methods solve the problem of generating training samples in a complex, starting from automatic generation of 3D content and ending with rendering directly. One of the main goals of the develioed system is to provide sufficient performance when generating sets of photo-realistic images of interiors via using GPUs.
Keywords: Synthesis of images of interiors for training neural networks, interior sampling.
Funding agency Grant number
Russian Foundation for Basic Research 18-31-20032 мол_а_вед
Document Type: Preprint
Language: Russian
Citation: V. A. Frolov, E. D. Feklisov, M. A. Trofimov, A. G. Voloboy, “Synthesis of images of interiors for training neural networks”, Keldysh Institute preprints, 2020, 081, 20 pp.
Citation in format AMSBIB
\Bibitem{FroFekTro20}
\by V.~A.~Frolov, E.~D.~Feklisov, M.~A.~Trofimov, A.~G.~Voloboy
\paper Synthesis of images of interiors for training neural networks
\jour Keldysh Institute preprints
\yr 2020
\papernumber 081
\totalpages 20
\mathnet{http://mi.mathnet.ru/ipmp2872}
\crossref{https://doi.org/10.20948/prepr-2020-81}
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    Препринты Института прикладной математики им. М. В. Келдыша РАН
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