And we’re not just saving forests. The assets you generate with Geometry Image Diffusion are free from baked-in lighting. Re-light them in any environment to fit your scene and save some energy while you’re at it! 💡 (9/10)

Why produce a thousand barrels? Let’s save the forest! 🌳 Just edit the one you’ve already generated (8/10)

Our model is trained on a 100k subset of Objaverse — smaller than what’s typically used for 3D generation. Yet, it generalizes well across a wide range of prompts (5/10)

The secret? We use geometry images, which are essentially 2D representations of 3D surfaces 🖼️ (think of GIMs as UV maps’ close cousins) This lets us recycle existing Text-to-Image models like Stable Diffusion, instead of building complex 3D architectures from scratch (2/10)

Does 3D generation always have to be either slow or complex and data-hungry?🤔 We don’t think so! With Geometry Image Diffusion, we’re all about reusing (and recycling ♻️) what already works — making it faster and easier by reducing complexity and data needs 🚀(1/10)