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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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@githubtrending · Post #14897 · 07/02/2025, 01:00 PM

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#python#ernie#ernie_45#ernie_45_vl#erniekit#llm#vlm ERNIE 4.5 is a powerful AI model family that understands and generates text, images, and videos together, thanks to its special design that shares knowledge across these types without losing quality. It includes large models with billions of parameters and smaller efficient ones, all trained using the PaddlePaddle framework for fast and effective use. ERNIE 4.5 excels in tasks like language understanding, visual reasoning, and following instructions, often outperforming other top models. It also offers tools for easy training and deployment on various hardware. This means you can use ERNIE 4.5 for advanced AI applications involving text and visuals with high accuracy and efficiency, supported by open-source resources for customization and development[1][3][5]. https://github.com/PaddlePaddle/ERNIE

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