Deep Photo Style Transfer New AI deep Learning Free Source Code for Adobe. There is a new artificial intellgent algorithm for adob, named as Deep Photo Style Transfer. These new algorithms can generate a new image by giving another image style, that is it gives the new appearance to the base image using deep learning algorithms. The new feature comes over the internet with the shared platform GIT Hub for software development project. This is free and available to download. Lets see the magic of adobe in more details.
GitHub – luanfujun A deep – photo – styletransfer
It merges the images by using the deep learning technology and develops a new image that adopts the styling of another image. In this deep learning artificial intelligent technology there developers intends to capture the style of another image and applies to the basic image.
Deep Photo Style Transfer Style Copy
However until now the similar technologies even uses different pictures for style adoption. But still there was a problem with the output image that has the significant picture distortion. So not making an exact style copy image. Therefore, in the new research on Git Hub, there is conversion of the input image to the output image by only taking the “local affine of the color space”. So only elements such as time, weather, and season are transferred from the style image to the base photograph. It is assured that by using this deep learning technology it is possible to output realistic images.
This result is reflected in “Deep Photo Style Transfer”, but what kind of images can actually be generated is still a bit ahead. Lets see the basic examples of this new image styling below:
Deep Photo Style Transfer Best Example Results
Select the landscape photograph of the city where the building stands in the base image.
Next, select the style you want to give to the base photo. If you consider style as odd features, then still it’s ok. So for example if you let this deep learning technology to learn the style of the following photo:
So we can easily capture the visual features of the second picture “Night view”, and the base photo turned into a night view photo. That is amazing effect ah.
Style to incorporate into the base picture When another picture is taken at night.
Night view pictures with different appearance characteristics can be generated.
Besides, based on the mediocre cloudy sky and the scenery of the lake.
Taking in the style of the landscape photograph which is characterized by bright red clouds.
A red cloud was added to the mediocre landscape photograph, and a fantastic landscape photograph is generated.
Furthermore, based on the yellow dahlia … ….
If you learn the style from a picture of a crimson rose … …
You can generate pictures of deep red dahlia.
Cases where I took pictures of a certain place but I was wondering “What kind of photos can be taken during the autumn leaves season?”
If you set the photo of autumn leaves season to style ……
Even if you have not seen it, you can create a photo of the autumn leaves season at a particular place.
Deep Photo Style Transfer technology Free Source Code
Deep Photo Style Transfer technology is developed based on Torch. That is a library for the development of open source machine learning and speech recognition application. And the most intresting part is that it is open source project on GitHub which also releases the source code. However this new technology is permitted only for educational / non-commercial use.