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Posts Tagged ‘NVIDIA’s’

NVIDIA’s new GeForce RTX Super GPUs join forces with Intel’s 10th generation H-series CPUs in RTX Studio laptop line

03 Apr

NVIDIA has announced the arrival of ten ‘Studio’ laptops announced that use Intel’s newly-released 10th generation H-series mobile processors. The NVIDIA RTX Studio-branded laptops include the company’s newest GeForce RTX Super GPUs. The RTX Studio notebooks come from Acer, Gigabyte, MSI and Razer, with new RTX Studio laptops from HP to be announced in the coming weeks.

All the announced RTX Studio laptops include NVIDIA’s flagship RTX 2080 Super Max-Q GPU and Intel’s 10th generation H-series mobile processors. Each Studio laptop is designed and catered to creatives, and thus include features important to creative enthusiasts and professionals. For example, the Acer ConceptD 7 Ezel and ConceptD 7 Ezel Pro laptops have built-in Wacom pen support and include color-accurate touchscreen displays. The MSI Creator and Razer Blade 15 Studio display 100 percent of the DCI-P3 color space, which is important for videographers. It is worth noting that some RTX Studio notebooks include 100 percent coverage of the Adobe RGB color space as well.

In total, 10 new RTX Studio systems were announced today. They each focus on different features, but all cater to creative applications. The Acer ConceptD Ezel 7 and ConceptD Ezel 7 Pro feature Acer’s Ezel design allowing flexibility in usage and have Wacom pen support. The Gigabyte Aero 15 OLED and 17 HDR machines include 4K OLED displays and display 100 percent of the DCI-P3 color space. MSI’s Creator 15 and Creator 17 notebooks have 4K IPS displays and can display 100 percent of the Adobe RGB color space. The Razer Blade 15 models have a striking aluminum unibody design and 4K OLED displays.

Click to enlarge. Image credit: NVIDIA

In our coverage of Intel’s new H-series mobile processors, (LINK) we discussed the advantages of maximum CPU speed for photography applications. For video editors, GPU plays a more significant role, which is where NVIDIA’s new RTX Super GPUs come in. More than 45 applications support NVIDIA’s RTX acceleration to improve performance, including Adobe After Effects, Lightroom, Photoshop and Premiere Pro. Popular video-centric software such as Cinema 4D, Davinci Resolve, Redcine-X Pro and Vegas Pro also support RTX acceleration.

More than 45 applications include RTX acceleration to improve performance. Click to enlarge. Image credit: NVIDIA

Alongside today’s announcement, NVIDIA published video editing performance gains users can expect with the new GeForce RTX Super GPUs when compared to Apple’s latest 16-inch MacBook Pro. Click to enlarge the chart.

Click to enlarge. Image credit: NVIDIA

With RTX Studio laptops being designed specifically for creative professionals, they will be bundled with three months of Adobe Creative Cloud for a limited time. This offer is valid for both new and existing Adobe customers.

Articles: Digital Photography Review (dpreview.com)

 
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NVIDIA’s latest AI project is ‘face swap’ for animals. Kind of…

30 Oct

NVIDIA researchers are back with another project that uses artificial intelligence to generate entirely new images from existing source images. Unlike past work that involved portraits of humans, however, this latest work — called GANimal — transforms an image of an animal into different animals, including other species.

Using an AI technique called generative adversarial networks (GANs), among other things, the researchers developed GANimal, an app that takes the expression of an animal from an image and recreates it on an image of a different animal. Examples include taking an expression from one breed of dog and replicating it on other dog breeds.

Though this is a fun example of the underlying technology, NVIDIA researchers say it could one day be put to use in more serious work. One given example of GANimal’s potential use is engaging filmmakers to shoot images of a tame animal doing stunts, such as a dog, and then using the AI to apply those movements onto a less tame animal, such as a tiger.

NVIDIA’s past artificial intelligence research includes an AI that can accurately scrub noise from images, generate portraits from source images, and transform simple sketches into photorealistic photos.

Articles: Digital Photography Review (dpreview.com)

 
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NVIDIA’s content-aware fill uses deep learning to produce incredible results

24 Apr

Adobe Photoshop’s Content-Aware Fill is the current industry standard when it comes to removing unwanted artifacts and distracting objects, but that might not always be the case. Because while Adobe is currently working on an advanced deep learning-based “Deep Fill” feature, NVIDIA just demonstrated its own AI-powered spot healing tool, and the results are pretty incredible.

As you can see from the two-minute demonstration above, the prototype tool can handle both basic tasks, like removing a wire from a scene, as well as more complicated tasks, such as reconstructing books and shelves inside an intricate library scene.

The secret behind this tool is NVIDIA’s “state-of-the-art deep learning method” that the tool is built on. Not only does the tool use pixels from within the image to reconstruct an area—it actually analyzes the scene and figures out what it should look like when it’s finished. This helps to create a much more accurate and realistic result, even when the original image is an absolute disaster.

The best examples of this can be seen in a paper NVIDIA team members published titled ‘Image Inpainting for Irregular Holes Using Partial Convolutions.’ As seen in the comparison images below, NVIDIA’s tool blows Photoshop out of the water when reconstructing portraits where much or most of the face is removed.

From left to right: the corrupted image, Adobe’s Content-Aware results, NVIDIA’s results and the actual image.

In the discussion section (section 5.1) of the aforementioned paper, NVIDIA says its “model can robustly handle holes of any shape, size location, or distance from the image borders. Further, our performance does not deteriorate catastrophically as holes increase in size.”

NVIDIA does note, however, that “one limitation of our method is that it fails for some sparsely structured images such as the bars on the door,” as seen in the image comparison below.

From left to right: the corrupted image, NVIDIA’s results and the original image.

Current shortcomings aside, this particular tool—prototype or otherwise—appears to be leaps and bounds ahead of everyone else that’s currently on the market. Unsurprisingly, there’s no word on when, or if, we’ll ever see this hit the market, let alone in the consumer market, but we’ll keep our fingers and toes crossed.

Articles: Digital Photography Review (dpreview.com)

 
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