AI image creator comes to Microsoft Bing

Microsoft’s Bing search engine and Edge browser are now equipped with an AI-powered image creator.

Why it matters: The tool uses OpenAI’s DALL-E to generate images from text prompts, and its rollout today reflects how quickly Microsoft has been building on its OpenAI partnership.

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#big7, #image-recognition

Runway debuts AI model that can generate videos from text

Startup Runway AI Inc. today debuted Gen-2, an artificial intelligence model that can generate brief video clips based on text prompts.

… Gen-2, the startup’s new AI model for generating videos, is an improved version of an existing neural network called Gen-1 that debuted in February. …Runway’s original Gen-1 neural network takes an existing video as input along with a text prompt that describes what edits should be made. A user could, for example, supply Gen-1 with a video of a green car and a text prompt that reads “paint the car red”. The model will then automatically make the corresponding edits. Read More

#image-recognition

Midjourney V5 is Out Now – Next Steps in Photorealistic Experience with AI Art

Arecent breakthrough in AI, you might have missed: the highly awaited Midjourney V5 is out now. The independent research lab has just released their latest version of the famous AI art generator. Some already call it “a world of photorealistic wonder” in terms of creating breathtaking images from text prompts. Wonder or not, the newly trained model promises significant improvements in language understanding, accuracy, and stylistic flexibility. Let’s try it out together and see what this update is capable of.

V5 is the second deep-learning model from Midjourney and has been in the works for the past five months. It claims to use completely different neural architecture and new aesthetic techniques compared to its predecessor. As developers put it: “You might hear it characterized as newly trained, bigger-brained, that it knows more, understands more, or listens better. All these things are true of V5.“ Of course, we had to try for ourselves. And lo-and-behold, this release does create wonders, even if it is still just an alpha test. Read More

#image-recognition, #vfx

A Face Recognition Site Crawled the Web for Dead People’s Photos

PimEyes appears to have scraped a major ancestry website for pics, without permission. Experts fear the images could be used to identify living relatives.

Finding out Taylor Swift was her 11th cousin twice-removed wasn’t even the most shocking discovery Cher Scarlett made while exploring her family history. “There’s a lot of stuff in my family that’s weird and strange that we wouldn’t know without Ancestry,” says Scarlett, a software engineer and writer based in Kirkland, Washington. “I didn’t even know who my mum’s paternal grandparents were.”

Ancestry.com isn’t the only site that Scarlett checks regularly. In February 2022, the facial recognition search engine PimEyes surfaced non-consensual explicit photos of her at age 19, reigniting decades-old trauma. She attempted to get the pictures removed from the platform, which uses images scraped from the internet to create biometric “faceprints” of individuals. Since then, she’s been monitoring the site to make sure the images don’t return.

In January, she noticed that PimEyes was returning pictures of children that looked like they came from Ancestry.com URLs. As an experiment, she searched for a grayscale version of one of her own baby photos. It came up with a picture of her own mother, as an infant, in the arms of her grandparents—taken, she thought, from an old family photo that her mother had posted on Ancestry. Searching deeper, Scarlett found other images of her relatives, also apparently sourced from the site. They included a black-and-white photo of her great-great-great-grandmother from the 1800s, and a picture of Scarlett’s own sister, who died at age 30 in 2018. The images seemed to come from her digital memorial, Ancestry, and Find a Grave, a cemetery directory owned by Ancestry.

PimEyes, Scarlett says, has scraped images of the dead to populate its database. By indexing their facial features, the site’s algorithms can help those images identify living people through their ancestral connections, raising privacy and data protection concerns, as well as ethical ones.

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#image-recognition, #ethics

Online storm erupts over AI work in Dutch museum’s ‘Girl with a Pearl Earring’ display

Mauritshuis currently has 170 works on display as part of its “My Girl with a Pearl” initiative while Vermeer’s masterpiece is on loan

The Mauritshuis museum in The Hague, Netherlands, is facing criticism for showing an image made using artificial intelligence (AI) which is inspired by Vermeer’s famous Girl with a Pearl Earring.

The work by Berlin-based Julian van Dieken, who describes himself as a “digital creator”, is one of five images out of around 3,480 submitted for the My Girl with a Pearl initiative whereby devotees of the famous painting were invited to send their own versions of the famous girl image.

The winning entries are on show at the Mauritshuis while Vermeer’s 1665 original masterpiece is on loan to the Rijksmuseum in Amsterdam (until 4 June); 170 entries are shown on a loop in a digital frame. Read More

#image-recognition

Large language models are having their Stable Diffusion moment

The open release of the Stable Diffusion image generation model back in August 2022 was a key moment. I wrote how Stable Diffusion is a really big deal at the time.

People could now generate images from text on their own hardware!

More importantly, developers could mess around with the guts of what was going on.

The resulting explosion in innovation is still going on today. Most recently, ControlNet appears to have leapt Stable Diffusion ahead of Midjourney and DALL-E in terms of its capabilities.

It feels to me like that Stable Diffusion moment back in August kick-started the entire new wave of interest in generative AI—which was then pushed into over-drive by the release of ChatGPT at the end of November. Read More

#chatbots, #image-recognition

AI re-creates what people see by reading their brain scans

A new artificial intelligence system can reconstruct images a person saw based on their brain activity

As neuroscientists struggle to demystify how the human brain converts what our eyes see into mental images, artificial intelligence (AI) has been getting better at mimicking that feat. A recent study, scheduled to be presented at an upcoming computer vision conference, demonstrates that AI can read brain scans and re-create largely realistic versions of images a person has seen. As this technology develops, researchers say, it could have numerous applications, from exploring how various animal species perceive the world to perhaps one day recording human dreams and aiding communication in people with paralysis.

Many labs have used AI to read brain scans and re-create images a subject has recently seen, such as human faces and photos of landscapes. The new study marks the first time an AI algorithm called Stable Diffusion, developed by a German group and publicly released in 2022, has been used to do this.  Read More

#human, #image-recognition

I Made an AI Clone of Myself

I spent a day recording videos in front of a green screen and reading all types of scripts to create a digital clone of myself that can say anything I want her to using a platform called Synthesia.

In November, a company called Synthesia emailed Motherboard and offered “an exclusive date with your AI twin.” 

“Hello, ever thought about creating your own digital twin? You’ve been invited to Synthesia’s New York studio to build your own virtual avatar, like me!” an AI clone of Synthesia spokesperson Laura Morelli said in a video embedded in the email. “Don’t miss out on learning more about the new sexy sector. Lock in your one-hour slot now to build your own avatar with Synthesia. Hurry now because spots are limited and filling up fast.” Read More

#image-recognition

The AI photo app trend has already fizzled, new data shows

Is the AI photo app trend already over? Over the past several months, AI-powered photo apps have been going viral on the App Store as consumers explored AI powered–experiences like Lensa AI’s “magic avatars” feature and other apps promising to turn text into images using AI tech. But new data from app intelligence firm Apptopia indicates consumer interest in AI photo apps has fallen as quickly as it rose.

The firm analyzed top AI photo apps worldwide, tracking both their download growth and in-app consumer spending.

In its analysis shared with TechCrunch, Apptopia examined the leading AI photo app Lensa AI and others, including Voi, Remini, Pixelup, Fotor, Wonder, FacePlay, Aiby, FaceApp, Gradient, Dawn AI, Facetune, Prequel, Voilà AI Artist, New Profile Pic Avatar Maker, and Meitu. (Voi was a later arrival, launching on December 7.)

Apptopia found that this group of AI apps first began to take off around Thanksgiving, then hit their peak in terms of both downloads and in-app purchases around mid-December. Read More

#image-recognition

Lexica: The Search Engine for AI-generated Art

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#image-recognition, #videos