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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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AI & Law

@ai_and_law · Post #798 · 04/02/2026, 07:04 AM

📖Wikipedia Restricts Use of AI-Generated Content Wikipedia introduced new guidelines prohibiting editors from using large language models (LLMs) to generate or rewrite article content. The platform allows only two limited exceptions: AI may be used for basic copyediting of existing text with human review, and for translating articles between languages under specific guidance. The policy links AI use to potential violations of core content standards, including verifiability and the prohibition on original research. LLM outputs may lack reliable source attribution and can introduce inaccuracies or synthesized content not supported by published sources. The guidelines also note that detecting AI-generated text cannot rely on stylistic signals and provide no specific detection method. #AIRegulation#AIethics#ContentModeration#KnowledgeGovernance#Wikipedia