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Neural Style Transfer: Artworks Generated Using AI

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Sanjoy Datta
Sanjoy Datta

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.

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Neural Style Transfer
After 200 iterations to minimize difference between both content and style image The Poppy Field - Monet Content Image Style Image
Water Lilies - Monet
Factory, Horta de Ebbo - Picasso
Olive trees with Yellow sky and sun - Van Gogh
Starry Night – Van Gogh
Dreaming - Rembrandt
Christ in the Storm on the lake of Galilee - Rembrandt
Ispahan – Kashi
Breaking Borders #1 Paresh Maity
UNKNOWN
M F Hussain
Jamini Roy
Blue Abstract
Moss-water -droplets
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
Shakespeare Picasso
Sketch – Taj Mahal 1
Sketch – Taj Mahal 2
Picasso - Bull
Trying to recreate Taj as a sketch Picasso – Shakespeare Sketch – Taj Mahal 1 Sketch – Taj Mahal 2 Picasso - Bull
1 GOAL Many Ways

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Neural Style Transfer: Artworks Generated Using AI