Earth.com

Microdiamonds discovered in the first three exploratory drill holes of a new deposit

Microdiamonds have been discovered in two areas of a well, confirming the existence of an extensive kimberlite system of ...
IEEE

M3 -DEGREES Net: Monocular-guided Metric Marching Depth Estimation with Graph-based Relevance Ensemble for Endoluminal Surgery

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 ...
GitHub

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

This work presents Depth Anything, a highly practical solution for robust monocular depth estimation by training on a combination of 1.5M labeled images and 62M+ unlabeled images.
marktechpost

Meta AI Researchers Release MapAnything: An End-to-End Transformer Architecture that Directly Regresses Factored, Metric 3D Scene Geometry

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 ...
marktechpost

NVIDIA AI Open-Sources ViPE (Video Pose Engine): A Powerful and Versatile 3D Video Annotation Tool for Spatial AI

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” ...
IEEE

Metric3D v2: A Versatile Monocular Geometric Foundation Model for Zero-Shot Metric Depth and Surface Normal Estimation

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 ...