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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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The Digi Doodles

@Digi_doodles · Post #613 · 07/23/2025, 04:10 PM

InvisAbility — Snow Globe Projections in Hobart📖 July 2025 · Hobart Town Hall · Tasmania The Town Hall becomes a snow globe. 😇 As part of the InvisAbility project, this immersive installation uses light projections and interactive sound to tell stories of people with disabilities — in ways that are gentle, poetic, and public. It’s not just art — it’s presence made visible through tech. Created with community input and designed for everyone who’s ever felt unseen. Public space becomes a space of care, sound, and shimmering empathy☁️ #InvisAbility#PublicArt#ImmersiveArt#Accessibility#ArtAndTech