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Image-generating neural networks: perspectives and artists’ concerns perspectives of image-generating AI, which can lead to the loss of work for them are considered.
Generative adversarial network for medical image segmentationIn this paper, a U-Net medical image segmentation method based on generative adversarial networks
A Method for Detecting Distinctive Patterns of Real Patients in Generated ImagesGenerative diffusion models are a well-established method for generating high-quality images
On norms of operators generated by shift transformations arising in signal and image processing on meshes supplied with semigroup structures generated by shifts have a number of applications in signal and image processing. This note is concerned
Building detection on aerial images using U-NET neural networks on satellite images of Planet database. To analyze the quality of developed algorithms, there was used Sorensen
Deep generative modeling of annotated bacterial biofilm images-demand generation of biofilm images. © 2025. The Author(s).
Projections of Finite One-Generated Rings with Identity. We specify sufficient conditions for the projective image of a one-generated ring decomposable into a
Hidden Object Masking using Deep LearningImage inpainting, the process of filling in missing or damaged regions within images, has witnessed
Application of Convolutional Neural Networks for Image Detection and Recognition Based on a Self-written Generator way to generate images to increase the volume of the training data set by using a self
Использование генеративного искусственного интеллекта в качестве инструмента архитектурно-дизайнерского проектированияThe article explores the applied capabilities of generative artificial intelligence
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