Imagest: a style conditioned art painting synthesis and generation networks
Related work Artwork restoration encompasses two primary approaches: manual restoration and digital restoration using computer technology for image synthesis. Both methods play crucial roles in preserving the integrity and beauty…
Applying deep learning for style transfer in digital art: enhancing creative expression through neural networks
This study’s methodology aims to develop a sound NST process encompassing the basic phases of data preprocessing, model specification, estimation, and model assessment. The selected dataset applied here is MS-COCO,…