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cvlab-columbia/zero123

Zero-1-to-3 is a zero-shot model that converts a single 2D image into a 3D object representation, enabling novel view synthesis and 3D reconstruction.

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This research project from Columbia University and Toyota Research Institute leverages stable diffusion to perform zero-shot 3D reconstruction from a single image. The model generates multiple views of an object from different camera angles, enabling downstream 3D asset creation without per-category training. It extends 2D diffusion models to 3D understanding tasks by conditioning on relative camera viewpoint information.

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