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Adobe adds Content-Aware Fill, background removal and portrait selection features to Photoshop for iPad

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Adobe has announced a new update for Photoshop on the iPad that brings with it some significant features. It now has Content-Aware Fill, Remove Background, as well as Select Subject designed specifically for people and tricky hair selections. There’s also a new font browser, along with Auto-tone, colour and contrast features.

Photoshop for the iPad was initially launched in 2019, and Adobe says they’ve been working hard to add more of the desktop features we know and love to the mobile version ever since. Obviously, this takes some time to adjust the application from a mouse-based UI to a finger-based touchscreen one and this year they’ve been focusing on adding as many one-tap features to the arsenal as possible.

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VSCO’s paid app now finally has content-aware object removal tool

Most phone photo editing apps allow you to remove unwanted objects from your photos. VSCO has finally decided to join the party and it has introduced the new Remove tool to its app. If this is your go-to editing app, from now on, you’ll be able to remove unwanted objects without leaving the app.

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Adobe shows off new and smarter Content-Aware Fill, coming to Photoshop soon

Photoshop’s Content-Aware Fill is soon to get an upgrade, and Adobe has just launched a video to show off the latest improvements. The Content-Aware Fill is getting more intelligent and more powerful than before, allowing you to be not only more precise, but also much faster while cloning out unwanted elements.

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The powerful new AI Structure tool in upcoming Luminar 4 adds texture and detail only where your photos need it

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Luminar 4 is set to be released this fall, and Skylum is gradually revealing all the exciting features it’s going to offer. After showing off how its Sky Replacement feature works, Skylum now demonstrates its new AI Structure tool. It’s a smart content-aware tool that automatically adds detail to a photo, but without negatively affecting people or other subjects.

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Adobe After Effects now has content-aware fill which lets you remove objects from videos

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Adobe has announced today a groundbreaking addition to After Effects: content-aware fill for video. The feature is powered by Adobe Sensei, the company’s AI platform which helps to remove various visual elements automatically. This feature has been available in Photoshop, and it makes it much easier for photographers to remove unwanted objects from images. But now, the same feature is coming to After Effects, making life easier for video editors, too.

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Adobe’s new Content-Aware Fill interface makes it really easy to fake photos

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Adobe is showing off a new sneak peek tech preview. This time, it’s a completely overhauled Content-Aware Fill interface that offers a great deal of control over the existing Content-Aware Fill feature. The old one is there if you want it, but the new one makes it a whole lot more powerful.

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Nvidia’s “content-aware” cloning tools use deep learning AI for incredibly realistic results

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When the Content-Aware Fill tools were added to Photoshop a number of years back, they were hailed as being the best thing since Photoshop itself was created. Now, with a couple of clicks, you could get rid of the stuff you didn’t want in your image and Photoshop would magically replace it with what you wanted. The reality was that it didn’t always do what it said on the tin, leading to the nickname “Content-Aware Fail”.

It’s come a long way since then. It’s smarter than it was, and soon it may expand to include fill sources from Adobe’s vast stock library. Nvidia’s taking a slightly different approach, though, using deep learning AI to help fill in the gaps, and while the aesthetics are still fairly primitive, the AI seems to do a great job of recognising what’s what.

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Adobe Scene Stitch is content aware fill on steroids – Uses AI and image databases to fill holes

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This is one of those features that many of us wish was added years ago. It’s common for photographers to fill in holes from one photograph, of things they want to remove, from sections of another. I’ve done it many times myself to fill in undergrowth in forests or even rebuild entire moss-covered walls behind my subject on location. But it’s a pain, and takes forever to do well.

Shown off at Adobe MAX, Adobe’s new Scene Stitch technology aims to solve this. Essentially, it works like Content Aware Fill. You select an area you wish to replace, and Photoshop figures out what to put in its place. Instead of looking only at the loaded image, though, it will look at a huge database of images. Then presents several possible options to fill the space.

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Adobe’s new “Cloak” technology is like content aware fill for video

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The Adobe MAX conference just ended today, and its closing brought about some very cool sneak peeks of Adobe tech. One such piece of new technology is what Adobe call “Cloak”. It allows you to remove unwanted things from videos. Essentially, it’s like Content Aware Fill for video. And it’s pretty amazing.

Adobe do warn, though this is an early look at the technology. It may or may not be features that they integrate into products down the road. But I can’t imagine that this won’t be added into After Effects (in which the tech was demonstrated) or Premiere somewhere down the line.

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This simple technique turns Content Aware Fill into a very powerful tool

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Content Aware Fill is one of those features of Photoshop that many users love to hate. So much so that quite a few of us have called it Content Aware Fail since it was first introduced in CS5. Personally, I’ve only found it to be really all that useful for extending clear blue skies, and even there it occasionally wants to put a branch or a building flying in the middle of nowhere.

This video from the Jesús Ramirez Photoshop Training Channel, though, shows me something I never knew about Content Aware Fill. That it respects layer masks. Something which turns it into a much more reliable and useful tool. This method makes it very easy to use Content Aware Fill where you previously might not have even tried.

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