![]() ![]() That could open up new use cases for Block-NeRFs, such as a 3D variant of Google's Street View service in Google Maps. Google also plans to incorporate training and rendering time improvements into Block NeRF, making it much more energy efficient and faster to render entire streets. In the future, additional NeRFs could also dynamically represent individual vehicles in the rendered scene to simulate traffic, the team said. Thu phóng ti ngôi nhà ca bn hoc bt c ni âu, sau ó s dng Ch. ![]() You’ll find exotic cities, landmarks in 3D, and buildings up close. Tìm ni bn yêu thích Khám phá hình nh v tinh trên toàn th gii cùng các tòa nhà và a hình 3D ti hàng trm thành ph. You can use Google Earth to travel the world and explore new places. Viewing your story as a presentation and sharing it with a collaborator. The detailed 3D environments can be used, for example, for planning and testing routes. Adding Street View and a 3D view to a Google Earth project. ![]() The project was developed in cooperation with Alphabet's Waymo company, which specializes in autonomous driving. Google cites training of autonomous vehicles or other robots, as well as support for aerial mapping, as potential applications for block NeRFs. See the world from above with high-resolution satellite imagery, explore 3D terrain and buildings in hundreds of cities, and dive in to streets and neighborhoods with Street Views 360° perspectives. NeRFs could enable Google Maps Street View in 3D Create and collaborate on immersive, data-driven maps from anywhere, with the new Google Earth. However, improvements are already planned, the team said. The rendering in the distance is currently also washed out. Multiple block NeRFs can render in parallel, which is necessary in some scenes where the blocks overlap. However, shadows of vehicles are still visible in some images, and changing vegetation results in washed-out trees and bushes along the roadway. The Google Earth plug-in allows you to navigate and explore new travel destinations on a 3D globe. Pedestrians, cars and other changing objects are automatically filtered out by the system during AI training. The different lighting and weather conditions of the recordings enable the NeRF networks to display the road scenes under different conditions as well. The block NeRFs were trained with nearly 2.8 million images captured over three months by camera-equipped cars. The split decouples render time from scene size, allows scaling to environments of any size, and allows per-block updates for changes such as construction sites. This is made possible by a network of multiple NeRFs, each responsible for a separate block in the city. Now, Google is demonstrating an approach with Block-NeRF that can render the largest 3D scene ever rendered with AI: Alamo Square in San Francisco, consisting of eight streets. Découvrez des images satellite, des bâtiments 3D et des vues en relief de centaines de villes à travers le monde. Until now, however, NeRFs have only been used to render individual objects or rooms. Check your inbox or spam folder to confirm your subscription.īlock NeRF renders extensive 3D scene for the first time ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |