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NVIDIA launches RTX 3050 mobile GPUs for low priced laptops for creatives

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NVIDIA has today announced their new hotly-anticipated RTX 3050 and RTX 3050 Ti mobile GPUs for RTX Studio laptops. Designed for both gamers and creatives, the new GPU comes with a host of new laptops coming from the usual suspects like Dell, HP, Lenovo, etc.

The RTX 3050 takes advantage of many of the new GPU-accelerated AI features out there like Smart Portrait and Super Resolution in Photoshop, Scene Edit Detection in Premiere Pro and the Magic Mask feature in DaVinci Resolve 17, offering some significant performance gains over the previous generation NVIDIA RTX and GTX-based laptops.

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Does Adobe’s Super Resolution eliminate the need for high resolution cameras?

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Adobe’s new Super Resolution feature is certainly rather good. It allows you to breathe new life into those lower resolution images from older DSLRs as well as smartphone images to an impressive level of quality. But does it really eliminate the need for today’s high-resolution cameras like the Canon EOS R5, Nikon Z7 II and Sony A7R IV?

Well, photographer Dan Watson seems to think so, as he demonstrates in this video where he puts the 12MP Sony A7S III and 20MP Canon EOS R6 + Super Resolution up against the 60.2MP Sony A7R IV and 45MP Canon EOS R5 for stills to see just how well they stand up to the task.

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Comparing Topaz Gigapixel AI vs Photoshop Super Resolution – Which is best?

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Topaz Labs’ Gigapixel AI has probably been the industry standard when it comes to upscaling images to massive proportions. It offers some pretty incredible abilities, claiming to let you to resize up to 600% from the original size “while perfectly preserving image quality”. Recently, Adobe announced their new Super Resolution feature, which uses AI to intelligently upsample images.

But how do the two compare with each other? Which is better? Which is faster? Are they both just as good as each other? That’s what Finnish photographer Peter Forsgård wanted to find out. So, in this video, he compares the two side-by-side on a number of images and talks about the pros and cons of each.

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I bumped a 100 MP photo to 375 MP using Photoshop’s Super Resolution tool

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Today, March 10, 2021, Adobe dropped its latest software updates via the Creative Cloud and among those updates is a new feature in Adobe Camera Raw (ACR) called “Super Resolution.” You can mark this day down as a major shift in the photo industry. I have seen a bit of reporting out there on this topic from the likes of PetaPixel and F-stoppers, but other than that the ramifications of this new feature in ACR have not been widely promoted from what I can see. The new Super Resolution feature in ACR essentially upsizes the image by a factor of four using machine learning, i.e. Artificial Intelligence (AI). From the PetaPixel article on this new feature they interviewed Eric Chan from Adobe, who was quoted as saying:

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This video explains Google’s Super Resolution algorithm in just three minutes

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There are so many new features coming to smartphone cameras these days that it can be difficult to keep up. You’ve got all kinds of HDR, fake bokeh, high resolution and high detail modes that all work in a bunch of different ways. Most of these features are there to overcome limitations in the tiny sensors that smartphones tend to contain.

One feature is Google’s Super Resolution algorithm. A computational photography technique that essentially replaces the demosaicing process used on most digital cameras. It’s quite fascinating, looks much better than most of the alternatives, and it’s pretty clever how it works.

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