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Source channel @githubtrending · Post #15062 · Aug 15
#python#mllm#point_clouds#scene_understanding#spatial_intelligence SpatialLM is a powerful 3D language model that turns complex 3D point cloud data from videos, RGBD images, or LiDAR into clear, structured 3D scene layouts showing walls, doors, windows, and objects with labels. It works without needing special equipment and can detect user-specified object categories. This helps you understand and analyze indoor spaces better, useful for robotics, navigation, and 3D design. You can run it on your data, visualize results, and even customize detection tasks easily, making 3D scene understanding more accessible and flexible for many applications. https://github.com/manycore-research/SpatialLM
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@the_ai · Post #779 · 03/26/2024, 12:55 AM
🦾#КороткойСтрокой • Гендиректор #Nvidia предсказал появление игр, целиком сгенерированных ИИ, менее чем через 10 лет. • В MIT придумали способ в 30 раз ускорить генерацию изображений с помощью нейросетей. • Глава #StabilityAI Эмад Мостак ушел в отставку. Он заявил, что займется децентрализованным ИИ. • По данным WABetaInfo, мессенджер WhatsApp работает над размещением #Meta AI в строке поиска.
@Digi_doodles · Post #624 · 08/05/2025, 09:05 AM
Stability AI: Fair Pay for Artists?💐 Prem Akkaraju, CEO of Stability AI, has announced a game-changing commitment: Artists whose work is used to train generative AI models may soon receive compensation — similar to royalties on Spotify. Key points: — Focus on licensed training data — Plans for revenue-sharing models with creators — A move toward ethical and transparent AI development ✉️As debates rage over AI and authorship, Stability AI takes a step toward making tech fairer — and more artist-friendly. #AIArt#StabilityAI#CreativeRights#EthicalAI#ArtAndTech