One photograph, spun into 360 degrees.
Winner, Google Nano Banana Hackathon 2025. Turns a single 2D image into an interactive 360° rotation through a multi-model generation pipeline.
Single image to interactive rotation
Upload, AI generation, drawing, scene customization, frame synthesis, and a draggable 360° viewer.
Four stages, three models, one source image.
Subject isolation
Segment Anything separates the subject from its background so the rotation belongs to the object, not the photo.
Scene understanding
Gemini Pro Vision reads the subject and infers the occluded geometry the back views will need.
Frame synthesis
Stability AI renders the rotation frames from the isolated subject and inferred context.
Spin
Sequential frames feed a draggable 360° viewer, with optional smoothing between frames.
What the hackathon format forced.
Dedicated 360° capture needs hardware, arrays of cameras, or hours of manual editing. The brief allowed one input image and a weekend, so every stage is a hosted model orchestrated behind a product surface — the engineering was in the hand-offs: what each model receives, what it may invent, and where a human can redraw the scene before frames are generated.