Швай, НадіяПоляков, Михайло2024-04-102024-04-102022https://ekmair.ukma.edu.ua/handle/123456789/28820Neural painting produces a sequence of strokes for a given image and artistically recreates it using neural networks. In this thesis, we explore a novel Transformer-based framework named Paint Transformer to predict the parameters of a stroke set with a feed-forward neural network. Paint Transformer achieves better painting results than previous methods with more inexpensive training and inference costs. The thesis proposes a novel extension to Paint Transformer that adds more complex GAN-generated strokes to achieve a more artistically abstract painting style than the original method.enMyPaint Brushstroke Action SpaGAN-generated strokesModifying the Stroke Predictorмагістерська роботаOther