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arXiv · 2507.10768

Spatial Reasoners for Continuous Variables in Any Domain

Bart Pogodzinski·Christopher Wewer·Bernt Schiele·Jan Eric Lenssen
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Abstract

We present Spatial Reasoners, a software framework to perform spatial reasoning over continuous variables with generative denoising models. Denoising generative models have become the de-facto standard for image generation, due to their effectiveness in sampling from complex, high-dimensional distributions. Recently, they have started being explored in the context of reasoning over multiple continuous variables. Providing infrastructure for generative reasoning with such models requires a high effort, due to a wide range of different denoising formulations, samplers, and inference strategies. Our presented framework aims to facilitate research in this area, providing easy-to-use interfaces to control variable mapping from arbitrary data domains, generative model paradigms, and inference strategies. Spatial Reasoners are openly available at https://spatialreasoners.github.io/

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Bart Pogodzinski, Christopher Wewer, Bernt Schiele, Jan Eric Lenssen. 2025-07-14. Spatial Reasoners for Continuous Variables in Any Domain. https://arxiv.org/abs/2507.10768

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