AI RESEARCH
Visual Diffusion Models are Geometric Solvers
arXiv CS.LG
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ArXi:2510.21697v2 Announce Type: replace-cross In this paper we show that visual diffusion models can serve as effective geometric solvers: they can directly reason about geometric problems by working in pixel space. We first nstrate this on the Inscribed Square Problem, a long-standing problem in geometry that asks whether every Jordan curve contains four points forming a square. We then extend the approach to two other well-known hard geometric problems: the Steiner Tree Problem and the Simple Polygon Problem.