Presentation on Neural Style Transfer
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This document describes neural style transfer, a technique where an algorithm is used to take a content image and style image and generate a new image that matches the content of the content image but in the style of the style image. It shows examples of content images being styled after famous artworks by Monet, Picasso, Van Gogh, and Rembrandt after 200 iterations of the algorithm to minimize differences between the content and style images. It also asks which two sketches of the Taj Mahal are most similar and mentions Rembrandt was the most admired painter of Monet.
Presentation on Neural Style Transfer
- 2. After 200 iterations to minimize difference between both content and style image The Poppy Field - Monet Content Image Style Image
- 4. Factory, Horta de Ebbo - Picasso
- 5. Olive trees with Yellow sky and sun - Van Gogh
- 8. Christ in the Storm on the lake of Galilee - Rembrandt
- 11. UNKNOWN
- 12. M F Hussain
- 13. Jamini Roy
- 14. Blue Abstract
- 16. The Poppy Field - Monet Factory, Horta de Ebbo - Picasso Olive trees with Yellow sky and sun - Van Gogh Dreaming - Rembrandt Which 2 of the 4 Taj are most similar to each other? You may see why Rembrandt was the most admired painter of Monet
- 18. Sketch – Taj Mahal 1
- 19. Sketch – Taj Mahal 2
- 20. Picasso - Bull
- 21. Trying to recreate Taj as a sketch Picasso – Shakespeare Sketch – Taj Mahal 1 Sketch – Taj Mahal 2 Picasso - Bull
- 22. 1 GOAL Many Ways