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Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
P. 9728-9738.
Voynov A., Бабенко А. В.
Yankovskaya A. E., Горбунов И. В., Hodashinsky I. A., Pattern Recognition and Image Analysis 2021 Vol. 2 No. 27 P. 243-265
Добавлено: 27 сентября 2021 г.
Lomov I., Lyubimov M., Макаров И. А. и др., Journal of Industrial Information Integration 2021 Vol. 23 Article 100216
Automated early process fault detection and prediction remains a challenging problem in industrial processes. Traditionally it has been done by multivariate statistical analysis of sensor readings and, more recently, with the help of machine learning methods. The quality of machine learning models strongly depends on feature engineering, that in turn heavily relies on expertise of ...
Добавлено: 21 марта 2021 г.
Белавин В. С., Устюжанин А. Е., Journal of Physics: Conference Series 2020 P. 1-7
Добавлено: 31 октября 2019 г.
Soboleva Natalia, Яковлев К. С., , in : Proceedings of the 42nd German Conference on Artificial Intelligence (KI 2019), Kassel, Germany, September 23-26, 2019. : Springer, 2019. P. 316-324.
Добавлено: 3 февраля 2020 г.
Ратников Ф. Д., Рогачев А. И., , in : EPJ Web of Conferences. Vol. 251: 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021).: EDP Sciences, 2021. Ch. 03043.
Добавлено: 14 сентября 2021 г.
Maksim Golyadkin, Макаров И. А., , in : Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers. Vol. 12602.: Springer, 2021. P. 230-242.
Manga colorization is time-consuming and hard to automate. In this paper, we propose a conditional adversarial deep learning approach for semi-automatic manga images colorization. The system directly maps a tuple of grayscale manga page image and sparse color hint constructed by the user to an output colorization. High-quality colorization can be obtained in a fully ...
Добавлено: 9 апреля 2021 г.
Ildar Lomov, Макаров И. А., , in : Proceedings of 2nd International Conference on Computer Applications & Information Security (ICCAIS). : NY : IEEE, 2019. P. 1-6.
The progress of deep learning models in image and video processing leads to new artificial intelligence applications in Fashion industry. We consider the application of Generative Adversarial Networks and Neural Style Transfer for Digital Fashion presented as Virtual fashion for trying new clothes. Our model generate humans in clothes with respect to different fashion preferences, ...
Добавлено: 29 июля 2019 г.
Деркач Д. А., Казеев Н. А., Ратников Ф. Д. и др., Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 2020 Vol. 952 No. 0168-9002 P. 161804
Добавлено: 11 февраля 2019 г.
Струминский К. А., Ветров Д. П., Lecture Notes in Computer Science 2019 Vol. 11832 P. 81-93
Добавлено: 23 апреля 2020 г.
A. Maevskiy, F. Ratnikov, Zinchenko A. и др., The European Physical Journal C - Particles and Fields 2021 Vol. 81 Article 599
Добавлено: 12 июля 2021 г.
Казеев Н. А., Деркач Д. А., Ратников Ф. Д. и др., Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 2019
Добавлено: 11 июля 2019 г.
Bespalov Y., Buzun N., Качан О. Н. и др., / Cornell University. Series arXiv "math". 2021.
Добавлено: 14 октября 2021 г.
Зобнин А. И., , in : Analysis of Images, Social Networks and Texts. 6th International Conference, 2017, Revised Selected Papers. Vol. 10716.: Cham : Springer, 2018. Ch. 11. P. 116-128.
Добавлено: 26 ноября 2017 г.
A Maevskiy, D Derkach, N Kazeev и др., Journal of Physics: Conference Series 2020 Vol. 1525 No. 012097 P. 1-6
Добавлено: 27 июля 2020 г.
Alanov A., Kochurov M., Volkhonskiy D. и др., , in : Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2020). Vol. 4.: SciTePress, 2020. P. 214-221.
Добавлено: 8 ноября 2020 г.