NEW 3DLLMs revealed for advanced Spatial AI and Spatial Intelligence.
New AI research published on Robin3D, a new model that tackles the limitations of existing 3D Large Language Models (3DLLMs) that struggle with robust instruction following and spatial understanding in 3D scenes. The key innovation lies in a two-pronged approach: a novel data engine called Robust Instruction Generation (RIG) and architectural enhancements to the 3D LLM itself. RIG addresses the lack of robust training data by generating two types of instruction data: Adversarial and Diverse. Adversarial data mixes positive and negative examples to improve the model's discriminative ability and reduce hallucinations. Diverse data, on the other hand, expands the range of language styles and task formats used in instructions, enhancing the model's generalization capabilities.
To further boost Robin3D's spatial intelligence, two new modules are introduced: Relation-Augmented Projector (RAP) and ID-Feature Bonding (IFB). RAP enhances object-centric features with scene-level context and positional information extracted from Mask3D and Uni3D, a pre-trained model for unified object representation. This fusion of information improves the model's understanding of spatial relationships between objects. IFB strengthens the association between object IDs and their corresponding features. It wraps features with identical ID tokens and employs a post-vision token order, placing vision tokens closer to the answer tokens during training. This approach enhances the model's ability to refer to and ground objects accurately within the 3D scene. Through these innovations in data generation and model architecture, Robin3D demonstrates state-of-the-art performance across various 3D tasks, marking a significant step towards building more general-purpose AI agents capable of understanding and interacting with the 3D world.
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ROBIN3D: IMPROVING 3D LARGE LANGUAGE MODEL VIA ROBUST INSTRUCTION TUNING
https://arxiv.org/pdf/2410.00255
00:00 Spatial AI and Spatial Intelligence
04:35 Robin 3D LLM
06:07 Robin3D explained
10:40 Robust Instruction Generation Engine
13:08 2 new tech components of Robin3D
14:00 Visual Example of Robin3D performance
17:56 Relation Augmented Projector of Robin3D
20:33 ID-Feature Bonding explained
24:31 Benchmark Data
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