https://ir.lib.vntu.edu.ua/handle/123456789/7778 Mon, 14 Sep 2026 09:59:53 GMT 2026-09-14T09:59:53Z https://ir.lib.vntu.edu.ua/handle/123456789/54389 Generative models for the synthesis of three-dimensional objects Romanyuk, O. N.; Stakhov, O. Ya.; Романюк, О. Н.; Стахов, О. Я. The chapter examines modern generative models used for the synthesis of three-dimensional objects and analyzes their potential for automated creation of complex 3D content. Particular attention is paid to neural network approaches capable of generating three-dimensional geometry textual descriptions, images, point clouds, voxel representations, and other forms of input data. The principles of operation of generative adversarial networks, variational autoencoders, diffusion models, and transformer-based architectures are considered in the context of 3D object synthesis. The main stages of the generative pipeline are described, including data preprocessing, feature extraction, latent-space representation, geometry generation, texture formation, and post-processing of the resulting models. The advantages and limitations of different approaches are analyzed with respect to geometric accuracy, visual realism, computational complexity, training requirements, and the possibility of controlling the generated result. Special attention is given to current methods for improving the quality of generated polygonal models, meshes, implicit surfaces, and neural representations. The study demonstrates that generative artificial intelligence significantly reduces the time required for creating three-dimensional content and enables the automation of several stages of traditional 3D modeling. The considered technologies have considerable potential for computer graphics, virtual and augmented reality, computer-aided design, simulation, digital entertainment, education, and engineering applications. Thu, 01 Jan 2026 00:00:00 GMT https://ir.lib.vntu.edu.ua/handle/123456789/54389 2026-01-01T00:00:00Z https://ir.lib.vntu.edu.ua/handle/123456789/54383 Застосування ком'ютерного зору для аналізу ехокардіографічних зображень Романюк, О. Н.; Денищич, Л. П.; Майданюк, В. П.; Romaniuk, O. N.; Maidaniuk, V. P. Розглянуто питання застосування комп`ютерного зору для аналізу ехокардіографічних зображень. Thu, 01 Jan 2026 00:00:00 GMT https://ir.lib.vntu.edu.ua/handle/123456789/54383 2026-01-01T00:00:00Z https://ir.lib.vntu.edu.ua/handle/123456789/54105 ‘Primarily a Historical Study’, or How the Context Changes Cultural Studies Кольовца, Т.; Kolowca, T. Огляд видань Brogi, G., Yaremenko, M., Kuzyk, T., Kuczyńska, M., Niedźwiedź, J. (Eds.). (2025). Stefan Javors’kyj’s Sermons: 1691-1698. Leiden: Brill; Niedźwiedź, J., Awianowicz, B. (Eds.). (2025). Stefan Javors’kyj’s Panegyrics: 1684–1691. Leiden: Brill.; The review of: Brogi, G., Yaremenko, M., Kuzyk, T., Kuczyńska, M., Niedźwiedź, J. (Eds). (2025). Stefan Javors’kyj’s Sermons: 1691-1698. Leiden: Brill; Niedźwiedź, J., Awianowicz, B. (Eds). (2025). Stefan Javors’kyj’s Panegyrics: 1684–1691. Leiden: Brill.Огляд видань Brogi, G., Yaremenko, M., Kuzyk, T., Kuczyńska, M., Niedźwiedź, J. (Eds). (2025). Stefan Javors’kyj’s Sermons: 1691-1698. Leiden: Brill; Niedźwiedź, J., Awianowicz, B. (Eds). (2025). Stefan Javors’kyj’s Panegyrics: 1684–1691. Leiden: Brill. Thu, 01 Jan 2026 00:00:00 GMT https://ir.lib.vntu.edu.ua/handle/123456789/54105 2026-01-01T00:00:00Z https://ir.lib.vntu.edu.ua/handle/123456789/54104 Кант і брехня як загроза епістемічній та моральній автономії людини. Timmermann, J. (2025). Kant and the Supposed Right to Lie. Cambridge: Cambridge UP. Іващенко, І.; Ivashchenko, I. Огляд книги Timmermann, J. (2025). Kant and the Supposed Right to Lie. Cambridge: Cambridge UP.; Review of Timmermann, J. (2025). Kant and the Supposed Right to Lie. Cambridge: Cambridge UP. Thu, 01 Jan 2026 00:00:00 GMT https://ir.lib.vntu.edu.ua/handle/123456789/54104 2026-01-01T00:00:00Z