Zastosowania technik separacji

i syntezy stylu

autor: Michał Bieroński

album: 218324

Wprowadzenie do transferu stylu

A Neural Algorithm of Artistic Style:

• Neural Style Transfer: Creating Art with Deep Learning using tf.keras and eager execution
• Making AI Art with Style Transfer using Keras

Style Separation and Synthesis via GAN's

Podejścia oparte o GAN'y: S3-GAN

Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation

Podejścia oparte o GAN'y: CD-GAN

Structure Guided Photorealistic Style Transfer

 Wyszukiwanie odpowiadających punktów / regionów

Źródła

1. A Neural Algorithm of Artistic Style, https://arxiv.org/pdf/1508.06576.pdf
2. Neural Style Transfer: Creating Art with Deep Learning using tf.keras and eager execution, https://medium.com/tensorflow/neural-style-transfer-creating-art-with-deep-learning-using-tf-keras-and-eager-execution-7d541ac31398
3. Making AI Art with Style Transfer using Keras, https://medium.com/mlreview/making-ai-art-with-style-transfer-using-keras-8bb5fa44b216
4. Style Separation and Synthesis via Generative Adversarial Networks, https://arxiv.org/pdf/1811.02740.pdf
5. Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation, http://www.ece.sunysb.edu/~xwang/public/paper/Multi_Domain_Image_to_Image_Translation_ACMMM_2018.pdf
6. Structure Guided Photorealistic Style Transfer, https://dl.acm.org/citation.cfm?id=3240637