a deep-learning approach to photographic style transfer that handles a large variety of image content while faithfully transferring the reference style
Platforms seek total control even as they abdicate responsibility. In other words, they’re perfect.
First, the program is given an 8 x 8 pixel image, which it “maps” to a similar higher resolution sample to produce a workable outline of the portrait or scene. Then, a second network adds resolution to that image
we need more smartness in our photo lives: we’re taking way too many photos, which are way too difficult to keep track of, way too hard to enhance into must-keep masterpieces, and way too time-consuming to combine with other content into enticing collages, multimedia trailers, or printed photobooks
Playing the wrong game was turning me into someone I did not want to be: a petty, dependent validation hog. An embarrassing example: If someone did not like or retweet one of my tweets within three minutes after posting, my anxiety would skyrocket to the point that I would delete it and post something else instead. Or I would post at a different time. Trying to “please” Twitter followers became a compulsive, life-draining pursuit which violated my core philosophy of “Write what you love, not what you think others will like.”
Every time you upload a photo to Facebook, the social network analyzes it and adds tags so that a computer can “describe” your photo to any visually impaired friends who run across it with their screen reader. Now, you too can see what Facebook is “seeing” in your photos.
AMP has since delivered on its promise of faster mobile web pages. Even so, publishers — of smaller sites, especially, or individual bloggers — are beginning to worry about giving too much control to Google in exchange for zippier web pages
The newly announced app is a full blown non-destructive RAW photo editor, built from the ground up around two things: simplicity and creativity.
First, it can manipulate an image based on very basic coloring, sketching, or warping commands. So you can change the shape, color, and size of an object in just a brush stroke or two, with the final product maintaining as natural a look as possible.
Compare how TIME’s photo editors and the EyeEm algorithm ranked the following 20 images.
Show and Tell is in the news today because Google actually made the model open source yesterday. You’ll have to train it yourself, but the source code is there for anybody who would like to try.
Many of you know Thomas Knoll as the man behind Photoshop, but he’s also the architect responsible for the creation of the Adobe DNG file format. Now that Adobe DNG is integrated into iOS and Android and is the default raw format for high-quality mobile photography, we’ve asked Thomas to discuss the history and benefits of DNG in his own words.
Researchers at the University of Texas at Austin and Cornell Tech say that they’ve trained a piece of software that can undermine the privacy benefits of standard content-masking techniques like blurring and pixelation by learning to read or see what’s meant to be hidden in images—anything from a blurred house number to a pixelated human face in the background of a photo
The app allows users to capture and share three-dimensional panoramas that Google calls VR Photos and share them for viewing in smartphone-based VR viewers like its own Google Cardboard and others.
Once the best image has been chosen, the app taps the multiple unused exposures to reduce noise and optimize contrast and white balance.
Professional photo editing likely comes to mind first when you think of Lightroom, but Adobe has managed to bring Photoshop Lightroom to the living room with a neat new Apple TV app sans any editing features.
Snapchat is moving from sharing moments to exchanging memories. Via a new feature released yesterday, the ephemeral photo company now gives its users the possibility to save snaps for later exchange and enjoyment, breaking its own foundation. With that move, it shoots back at its biggest threat, the Facebook/instagram/WhatsApp conglomerate in what has become a worldwide battle of tech giants for where consumers share their photos and how. At stake, the perceived multi-billion dollar mobile advertising market.