Flame3D enables zero-shot compositional 3D scene reasoning by representing scenes as editable visual-textual memories exposed to agentic MLLMs through composable and synthesizable spatial tools.
Sort3d: Spatial object-centric reasoning toolbox for zero-shot 3d grounding using large language models
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SSR3D-LLM improves fine-grained 3D grounding in unified 3D-LLMs by generating and scoring sequences of latent spatial reasoning steps from the query using fixed Mask3D proposals.
Describes a modular VLA framework with semantic voxel mapping via OwlViT and VLM-based command classification and grounding for the CMU VLA Challenge.
citing papers explorer
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Flame3D: Zero-shot Compositional Reasoning of 3D Scenes with Agentic Language Models
Flame3D enables zero-shot compositional 3D scene reasoning by representing scenes as editable visual-textual memories exposed to agentic MLLMs through composable and synthesizable spatial tools.
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SSR3D-LLM: Structured Spatial Reasoning via Latent Steps for Fine-Grained Grounding in Unified 3D-LLMs
SSR3D-LLM improves fine-grained 3D grounding in unified 3D-LLMs by generating and scoring sequences of latent spatial reasoning steps from the query using fixed Mask3D proposals.
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A Modular Vision-Language-Action Robotics Framework for Indoor Environments
Describes a modular VLA framework with semantic voxel mapping via OwlViT and VLM-based command classification and grounding for the CMU VLA Challenge.