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DOrA: 3D Visual Grounding with Order-Aware Referring
March 26, 2024, 4:47 a.m. | Tung-Yu Wu, Sheng-Yu Huang, Yu-Chiang Frank Wang
cs.CV updates on arXiv.org arxiv.org
Abstract: 3D visual grounding aims to identify the target object within a 3D point cloud scene referred to by a natural language description. While previous works attempt to exploit the verbo-visual relation with proposed cross-modal transformers, unstructured natural utterances and scattered objects might lead to undesirable performances. In this paper, we introduce DOrA, a novel 3D visual grounding framework with Order-Aware referring. DOrA is designed to leverage Large Language Models (LLMs) to parse language description, suggesting …
abstract arxiv cloud cs.cv dora exploit identify language modal natural natural language object objects performances transformers type unstructured visual
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