Fancy watching how youd looking with red locks or blue? No problemo. Just upload your selfie, wait a few tickings while the AI gets to work figuring out which bits of your face are hair and which are not, and then tap on a shade of your option to try out a new do.
Co-founder Victor Koch says the teams experiments with neural networkshave resulted in an app that makes hair coloring qualitative and closer to natural.
The app also lets you blur the background of a selfie. Or insert alternative backgrounds, including uploading photos of your choice.
But its most eye-catching feature is definitely the ability to generate an instant collage of brightly mopped selfies offering a sort of insta-pop-art thats ready to loading straight into Instagram to ask your adherents which seem works best for you.
While not perfectly photorealistic in every instance, outcomes can appear relatively realistic, depending on how dark/ sunlight your natural hair coloring is and at least give you an idea of what a particular hair dye might do for you.
Teleport launched officially in late July, initially in Europe, before being opened up globally. Koch claims its had two million downloads at this phase, and made more than 75 kshares on Instagram thus far, or~ 250 k across social platforms in general. Instagram is where Teleports makers are clearly hoping to grab #attention.
Koch describes the app as a neural photo-editor putting in the same category as the likes of the rather more radically transformative FaceApp, which had a moment of viral popularity earlier this year when people realized its gender-bending potential.
Last year another viral make in the neural photo-editing space wasPrisma, which utilized AI operating on smartphone hardware to power a style transfer feature that could turn plain old photos into painterly graphics in the style of particular artists.
Since then, style transfer has been absorbed into mainstream apps, with social giants like Facebook cloning the feature. While Google has been working in this space for longer, building automatic photo-editing features powered by AI and baking them into its own photo products to enhance the feature defined.
In Teleports case, Koch says theyre utilizing convolution neural networks for semantic segmentation of images/ video the team also has anapp for selfie-video that lets users change the background as they shoot.
Teleports selfie editor app has been in development for around seven months, according to Koch, with the US-based squad having raised$ 1 million thus far from private investors to fund development.
The idea was born out of a set of experimentations use neural networksOn complex problems, broad and deep networks significantly outperform small networks and other methods based on manual feature creation due to their flexibility but require a sufficient amount of data to avoid overfitting. However their processing time, size, and memory intake are also much larger, he says.
We train our models using Tensorflow, because currently it is the most powerful and actively developing deep learning framework. We have several Amazon Instances which we use to develop our model. Our dataset consists of 30 k photos selected manually. Furthermore, we created our own framework which is up to 20 hours faster than the popular Tensorflow library.
The app is a free download, as youd expect for this sort of visual novelty, but the team reckons there could be monetization potential in future by integrating with big cosmetics companies i.e. those which sell hair dyes, sincethe app can reproduction the colorings at least quasi-realistically and offer try before you dye.
Koch says they do also plan on adding more features, such as the ability to change hair color in real-time video, and, er, change skin color The latter does sound a tad ill-advised, given, for example, the controversy around Snapchats Bob Marley filter last year.FaceApp also had to apologize after it made a hotness filter that bleached the scalp of POC.
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