AI RESEARCH
Chat-Scene++: Exploiting Context-Rich Object Identification for 3D LLM
arXiv CS.CV
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ArXi:2603.27507v1 Announce Type: new Recent advancements in multi-modal large language models (MLLMs) have shown strong potential for 3D scene understanding. However, existing methods struggle with fine-grained object grounding and contextual reasoning, limiting their ability to interpret and interact with complex 3D environments. In this paper, we present Chat-Scene++, an MLLM framework that represents 3D scenes as context-rich object sequences. By structuring scenes as sequences of objects with contextual semantics, Chat-Scene++ enables object-centric representation and interaction.