![]() It’s a solution to “view synthesis,” a computer graphics challenge seeking to allow someone to see a space from any point of view from only a few source images. The neural network “hallucinates” how a full 3D scene would appear, according to Sidhu. This approach uses machine learning to construct a credible 3D model of an object or space from 2D pictures or video. ![]() One of the industry’s most consequential turning points occurred that same year when researchers at Google introduced neural radiance fields, commonly referred to as NeRFs. On #1scanaday #3Dscanning #XR /9DX1Ltnmh8 This, however, was still only available to the wealthiest Apple customers.ĭay 254: hiking in Pinnacles National Park and scanning my daughter as we crossed a small dry creek.Ĭaptured with the iPhone 12 Pro + I can’t wait to see these 3D memories 10 years from now. The ability to scan a space in the same way driverless cars see the world meant that suddenly anyone could quickly and cheaply generate detailed 3D assets. First popularized as the bulky spinning sensors on top of autonomous vehicles, and priced in the tens of thousands of dollars, lidar made its consumer-tech debut on the iPhone 12 Pro and Pro Max in 2020. Lidar scanners are an example of the price-performance improvement in sensors. And third is the proliferation of computing power, largely driven by GPUs, capable of rendering graphics-intensive objects on devices widely available to consumers. Second is a cascade of new techniques which make use of artificial intelligence to construct finished 3D assets. First is a drop in cost of the kinds of cameras and sensors which can capture an object or space. In our discussion, Sidhu laid out three distinct yet interrelated technology trends that are driving this progress. “What is insane, and what has changed, is today I can do all of that with the iPhone in your pocket,” he says. As an example, he cited the work of CyArk, a non-profit founded two decades ago with the aim of using professional grade 3D capture technology to preserve cultural heritage around the world. “Reality capture technologies are on a staggering exponential curve of democratization,” he explained to me in an interview for Singularity Hub.Īccording to Sidhu, generating 3D assets had been possible, but only with expensive tools like DSLR cameras, lidar scanners, and pricey software licenses. While new technologies like low-cost drones, 3D printing, and private satellite internet may be creating a distinctly 21st century battlefield unfamiliar to conventional armies, another set of technologies is creating new possibilities for citizen archivists off the frontlines to preserve Ukrainian heritage sites.īackup Ukraine, a collaborative project between the Danish UNESCO National Commission and Polycam, a 3D creation tool, enables anyone equipped with only a phone to scan and capture high-quality, detailed, and photorealistic 3D models of heritage sites, something only possible with expensive and burdensome equipment just a few years ago.īackup Ukraine is a notable expression of the stunning speed with which 3D capture and graphics technologies are progressing, according to Bilawal Sidhu, a technologist, angel investor, and former Google product manager who worked on 3D maps and AR/VR. So far in the Russia-Ukraine War, UNESCO has confirmed damage to hundreds of religious and historical buildings and dozens of public monuments, libraries, and museums. It was no surprise then, in February of 2022, as Russian troops swept into Ukraine, that historians and cultural heritage specialists braced for the coming destruction. As a weapon of war, destroying cultural heritage sites is a common method by armed invaders to deprive a community of their distinct identity.
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