Abstract: 3D imaging enables accurate diagnosis by providing spatial information about organ anatomy. However, using 3D images to train AI models is computationally challenging because they consist of ...
Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs ...
2 papers removed: GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions, GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting 4 papers' status updated. Structure ...
In two separate blog posts, the Menlo Park-based tech giant detailed the new AI models. There are three models in total. SAM 3 for image and video tracking and segmentation, SAM 3D Objects for ...
Eddie is Techopedia's Senior Editor who has previously worked in local, national, and international newsrooms in the UK and Australia, including Mail Online and Sydney's… Spatial computing has been in ...
The tools aim to improve 3D understanding for AR, VR, game development and computer vision by generating detailed 3D data ...
Apple has introduced two interesting ways to view photos across its platforms, Spatial Photos and Spatial Scenes, and each adds depth in its own way. Here are the differences and what you need to know ...
While weakly supervised multi-view face reconstruction (MVR) is garnering increased attention, one critical issue still remains open: how to effectively interact and fuse multiple image information to ...
Department of Materials Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States Materials Research Institute, The Pennsylvania State University, ...
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