Visual Diffusion Models are Geometric Solvers

Visual diffusion models can solve complex geometric problems by transforming noisy images into accurate solutions, as demonstrated with the Inscribed Square Problem, Steiner Tree Problem, and Simple Polygon Problem. This approach leverages standard visual diffusion techniques rather than specialized architectures, offering a practical method for approximating difficult geometric challenges through image generation.

Read the full article at arXiv cs.CV (Vision)

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