Relational Abstractions for Spatial Reasoning with Diffusion Models
This work shows that the relational knowledge derived from object-centric representations enriches diffusion models with structural primitives, allowing them to effectively guide the generative representation space during both training and inference, and enabling conditional image generation that satisfies reasoning co...