Author

Federico Tombari

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#artificial intelligence Preprint Sep 2026

ChronoGraph: Functional 4D Scene Graphs with Vision-Language Models for Interaction Understanding and Grounded Planning

Embodied agents must determine where to act, anticipate the resulting scene changes, and interpret observed outcomes to guide subsequent actions. This requires connecting 4D interaction understanding, which explains how past actions changed the scene, with spatially grounded planning, which determines how and where to...

Chenyangguang Zhang, Malgorzata Gwiazda, Guan-Long Jiao et al. · 0 citations

#computer vision Preprint Sep 2026

Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering

Reasoning about the 3D world from multi-view images remains a fundamental challenge for Multimodal Large Language Models (MLLMs). While modern MLLMs handle single-image inputs effectively, they struggle to integrate evidence across viewpoints into a coherent 3D understanding. A growing body of work attempts to close th...

Jaewoo Jung, Hyeonseo Yu, Honggyu An et al. · 0 citations