博主用GPT-6 Astra把约400张老宅照片重建为可编辑Blender场景
It’s pretty wild how frontier LLMs have crossed the chasm on inverse graphics. Young founders will start decompiling reality, building RL environments, and print money doing it. Incumbents won't be too happy unless they're fast to adapt. Case in point -- I gave AI a 3D scan of my parents old house, and it rebuilt the room in Blender. Then I turned off the gravity. Here’s how it works: 1. ~400 photos I took in 2019 go through RealityScan and become a photogrammetry mesh 2. GPT-6 Astra rebuilds it as a clean, editable Blender scene, using the scan as reference 3. Scan textures become procedural materials. No downloaded assets 4. Every object is isolated and editable, so the physics just works Turning messy scans into scenes modeled the way an artist would used to take days of skilled work. Huge implications for VFX, AR/VR and robotics.
博主Bilawal Sidhu把2019年拍摄的约400张父母老宅照片经RealityScan生成摄影测量网格,再由GPT-6 Astra以扫描为参考重建为干净、可编辑的Blender场景。扫描纹理被转为程序化材质,无需下载素材,每个物体独立可编辑,因此物理效果可直接生效。他认为前沿LLM已在逆向图形上跨过鸿沟,这类能力对VFX、AR/VR和机器人影响巨大。
作者用约400张旧照片经RealityScan和GPT-6 Astra重建出可编辑Blender场景并关掉重力演示,适合做效果对比与流程拆解。
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Connecting bits and atoms. Reconstructing real world events using OSINT, GEOINT and AI. Playing with spatial intelligence, world models and electric guitars.
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来源:X · Bilawal Sidhu · x.com