Розширення можливостей Paint Transformer з генеруванням мазків пензля за допомогою GAN

dc.contributor.advisor	Швай, Надія
dc.contributor.author	Поляков, Михайло
dc.date.accessioned	2024-04-10T10:35:35Z
dc.date.available	2024-04-10T10:35:35Z
dc.date.issued	2022
dc.description.abstract	Neural 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.	uk_UA
dc.identifier.uri	https://ekmair.ukma.edu.ua/handle/123456789/28820
dc.language.iso	en	uk_UA
dc.relation.organisation	НаУКМА	uk_UA
dc.status	first published	uk_UA
dc.subject	MyPaint Brushstroke Action Spa	uk_UA
dc.subject	GAN-generated strokes	uk_UA
dc.subject	Modifying the Stroke Predictor	uk_UA
dc.subject	магістерська робота	uk_UA
dc.title	Розширення можливостей Paint Transformer з генеруванням мазків пензля за допомогою GAN	uk_UA
dc.type	Other	uk_UA

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