Deep learning for style and domain transfer

• Main Author: Ni, Anqi
• Other Authors: Wen Bihan
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/158046
• Institution: Nanyang Technological University

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...