Deep learning for style and domain transfer

Deep learning for style and domain transfer

The diversity of painting styles provides rich visual information for constructing artistic images. In this project, two image style transfer algorithms based on deep learning are proposed and tried. One is CNN-based algorithm, which uses pre-trained convolutional neural network (CNN) to extract the...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолч:	Ni, Anqi
Бусад зохиолчид:	Wen Bihan
Формат:	Final Year Project (FYP)
Хэл сонгох:	English
Хэвлэсэн:	Nanyang Technological University 2022
Нөхцлүүд:	Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Онлайн хандалт:	https://hdl.handle.net/10356/158046

Ижил төстэй зүйлс

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Improving deep reinforcement learning with advanced exploration and transfer learning techniques
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Image artefact removal using deep learning
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