Microdiamonds have been discovered in two areas of a well, confirming the existence of an extensive kimberlite system of ...
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Optical interference sensor system developed for simultaneous precision force and depth measurement
A research team led by Professor Cheol Song at the Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk ...
Abstract: We introduce Metric3D v2, a geometric foundation model designed for zero-shot metric depth and surface normal estimation from single images, critical for accurate 3D recovery. Depth and ...
Abstract: Robotic endoluminal surgery has gained tremendous attention for its enhanced treatments in gas-trointestinal intervention, where navigating surgeons with monocular camera-based metric depth ...
EndoSynth: novel synthetic dataset of endoscopic surgical instruments with ground truth metric depth: a new synthetic dataset featuring endoscopic HugoTM RAS surgical instruments paired with precise ...
A team of researchers from Meta Reality Labs and Carnegie Mellon University has introduced MapAnything, an end-to-end transformer architecture that directly regresses factored metric 3D scene geometry ...
MapAnything is a simple, end-to-end trained transformer model that directly regresses the factored metric 3D geometry of a scene given various types of inputs (images, calibration, poses, or depth). A ...
How do you create 3D datasets to train AI for Robotics without expensive traditional approaches? A team of researchers from NVIDIA released “ViPE: Video Pose Engine for 3D Geometric Perception” ...
In the fields of artificial intelligence and computer vision, 3D scene generation has long been a challenging technical hurdle. Industries such as virtual reality (VR), augmented reality (AR), and ...
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