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Source channel @githubtrending · Post #14934 · Jul 9

#python#3d_reconstruction#3d_vision#monocular_depth_estimation#monocular_geometry_estimation MoGe-2 is a powerful tool for estimating 3D geometry from single images. It can create detailed point maps, depth maps, and normal maps with high precision. This model is especially useful because it can predict geometry in metric scale, meaning it provides accurate measurements. It also enhances visual sharpness, making it better than previous versions. Users benefit from MoGe-2 by getting precise 3D information from just one photo, which is helpful for applications like robotics or video games. It's fast and works well with different image sizes. https://github.com/microsoft/MoGe

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@kejiqu · Post #4272 · 03/19/2026, 01:39 AM

2026 图灵奖授予量子密码学发明者 计算机协会 (Association for Computing Machinery) 于周三宣布,Charles Bennett 博士和 Gilles Brassard 博士因其在量子密码学及相关技术方面的开创性工作而共同荣获 2026 年图灵奖。该奖项通常被称为计算机领域的诺贝尔奖,奖金为 100 万美元。两位科学家于 1983 年发表研究,证明了量子地铁票无法伪造,并于 1984 年提出了 BB84 系统,该系统利用光子创建加密密钥,通过量子力学原理实现安全加密。Slashdot 🏷#Turing#Award#Quantum#Cryptography#BB84 📢频道👥群组📝投稿