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Source channel @githubtrending · Post #15062 · Aug 15

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#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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ChatGPT AI Technology News

@chatgpt_officialnews · Post #186 · 07/10/2025, 01:30 PM

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🖼Big Update: Smarter, Sharper AI Images! Hey NeuralHub fam! We just rolled out a major upgrade to our image generation system — and it's 🔥 ✨What’s new? 1️⃣More accurate prompts 2️⃣Sharper, cleaner visuals 3️⃣Fewer weird hands 🐸 4️⃣Better understanding of faces, scenes, and details. Whether you're creating a logo, a character, or just having fun — the results are now way more realistic and on-point.🎯 Go try it now and see the difference for yourself! ➖➖➖➖🔻 🧠 BOT: @Chatgpt_OfficialBOT 💎@Chatgpt_OfficialNews #️⃣#AIImages#NeuralHubAI#ImageGeneration#AIPower ➖➖➖➖🔺

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