It has a colour mapping to translate IR information into the visible spectrum. It's not really "colorized" in the sense of simply adding colour for aesthetic appeal. Very rarely do I see any content creator or established media outlet bother with fact checking or testing the veracity of the person making the claims.Īrs is no different in this race to the bottom. Because they are sent the products to review under strict instructions on how to ‘present’ the product otherwise no new items for you to review in future. These days it’s page after page of ‘reviews’ just claiming the latest and greatest is ten times better than your old one. There was a time if you searched for reviews, you’d find people just giving honest reviews of products they had purchased themselves. Guess what happens at the next board of directors meeting….Įven YouTube has gone the same way. Thus creating the vicious circle that just alienates paying members of the public who then cancel their own subscriptions. And it’s cheaper and more lucrative to employ someone with no journalistic integrity just to parrot whatever any private company pays them to. But the board of directors in their infinite wisdom, simply saw the revenue falling, and decided that costs had to be cut to make up the shortfall. They run poverty porn features where they exploit poor people for their political gain, alongside articles about celebrities flashing their wealth, glorifying gangsters and their wealth, and adverts disguised as articles whereby the ‘reporter’ just repeats whatever nonsense the paying customer tells them to.Įventually I stopped funding this paper because it had stopped reporting the News. My local paper has become unreadable in the past few years. You’d think that paying for things would resolve it, but look at Netflix, and you soon discover it doesn’t make a difference. Unfortunately standards are dropping across the board in all media content creation. I don't think this is a fair comparison at all. It will have to go through Photoshop as well to be adjusted for more pleasant viewing, and it cannot possibly be accurate without enough training data. You can't put the AI's color solution up against an original with a lot more information. Of course, then it will produce a dull picture with incorrect colors. Really a lot of information is lost and the rest is skewed. Then it also depends how you make it BW, meaning, which colors should be represented in the BW picture. You're also looking at a picture that had separate color component information, fed into Photoshop.įor the AI, the tester removes color information, which not only removes color, but also tinting of shadows and highlights, the multi-level light play in subsurface scattering, the color of lights bouncing off colored surfaces. They look better than they would have when they were being viewed 100 years ago. The color photos have already been processed heavily with Photoshop to push out as much color information as possible, and the color vibrancy has really been cranked up. But my comments apply to the rest of the article as well. PS: In case there's A/B testing going on, the title I see is "AI tool colorizes black-and-white photos automatically". Tech writers should do better, especially for a tech audience. Further, the article gives absolutely no insight into what tech is being used and how it differs from predecessors (the comments do a better job). It's like reading an article about Parler titled "New web-based tool connects people around the world automatically". But the article misses a great deal of valuable context. The current method using Stable Diffusion may work better on some inputs, or even overall. The many many search results for "convert black and white photo to color online free" Photoshop's "Colorize" neural filter (disclaimer: I work at Adobe - you can read this message omitting this bullet point if you prefer) Colorful Image Colorization (from 2016, includes a free demo + source code, and cites many other relevant papers) In fact, this topic has been extensively researched for years, and widely implemented in both free and commercial software. It's written like a PR blurb, as if this is the first tool to apply AI to image colorization. I'm normally a fan of Ars Technica's balance of well-researched articles and popular appeal.
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