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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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@CryptoM · Post #64744 · 04/09/2026, 05:34 PM

🚀 AI TRENDS | Google Cloud AI's PaperOrchestra Enhances Manuscript Quality Google Cloud AI researchers have introduced PaperOrchestra, a system designed to improve the quality of literature reviews and manuscript formatting. According to NS3.AI, human evaluations revealed that PaperOrchestra achieved a 50%-68% win-rate margin in literature review quality compared to autonomous baselines. The system employs five specialized agents to manage tasks such as organizing raw materials, generating figures, reviewing literature, and formatting manuscripts. To evaluate the effectiveness of PaperOrchestra, researchers developed PaperWritingBench, a framework built from 200 top-tier AI conference papers. This framework demonstrated a 14%-38% improvement in overall manuscript quality, showcasing the potential of PaperOrchestra in enhancing academic writing processes. #AI#GoogleCloudAI#PaperOrchestra#ManuscriptQuality#LiteratureReview#AcademicWriting#AIAgents#ResearchTools#PaperWritingBench