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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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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40364 · 12/19/2025, 07:02 PM

Chemists at UC Berkeley created a new catalytic process that turns plastic bags and bottles (polyolefins) into gases like propylene and isobutylene. These gases are used to make new plastics like polypropylene. The process uses cheap solid catalysts and can be scaled up for industrial use. This method helps recycle plastics better and supports a circular economy by turning waste into new materials. 🔄♻️ [Source] @googlefactss #plasticrecycling#catalysis#polyolefins#circularEconomy#sustainability#chemistry#innovation