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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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@uxlink_community · Post #906 · 04/09/2026, 07:48 AM

New Partnership: UXLINK 🤝 C4E We’re excited to partner with @Chain4Energy to bring DePIN & Energy Management into the UXLINK Social Ecosystem! C4E is an AI-powered Layer 1 platform designed for real-world energy and e-mobility management through DePIN infrastructure. ⚡️🤖 Together, we are driving: 🔹 Social-led growth for sustainable energy 🔹 AI-powered intelligent coordination 🔹 Community-driven rewards & engagement Let’s build a greener and more connected Web3 together! 🔗🔋 #UXLINK#C4E#DePIN#Web3Social