Ges3ViG: Incorporating Pointing Gestures into Language-Based 3D Visual Grounding for Embodied Reference Understanding
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Abstract (arXiv)
3-Dimensional Embodied Reference Understanding (3D-ERU) combines a language description and an accompanying pointing gesture to identify the most relevant target object in a 3D scene. Although prior work has explored pure language-based 3D grounding, there has been limited exploration of 3D-ERU, which also incorporates human pointing gestures. To address this gap, we introduce a data augmentation framework-Imputer, and use it to curate a new benchmark dataset-ImputeRefer for 3D-ERU, by incorporating human pointing gestures into existing 3D scene datasets that only contain language instructions. We also propose Ges3ViG, a novel model for 3D-ERU that achieves ~30% improvement in accuracy as compared to other 3D-ERU models and ~9% compared to other purely language-based 3D grounding models. Our code and dataset are available at https://github.com/AtharvMane/Ges3ViG.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 24 of its 47 references that are in the map. First posted on arXiv 13 Apr 2025.
Builds on
24 of 47 references.
References · 24
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12 more
- 2015Grounding of Textual Phrases in Images by Reconstructioncited by 112
- 2021Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloudcited by 81
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Citing papers per year: 2025: 2; 2026: 5.
7 papers.
- 2026Egocentric Co-Pilot: Web-Native Smart-Glasses Agents for Assistive Egocentric AIcited by 3
- 2025CAPE: A CLIP-Aware Pointing Ensemble of Complementary Heatmap Cues for Embodied Reference Understandingcited by 0
- 2025A Multimodal Depth-Aware Method For Embodied Reference Understandingcited by 0
- 2026PoseRefer: Pathway-Local Parameters for Semantically Grounded Reference Resolutioncited by 0
- 2026PruneGround: Plug-and-play Spatial Pruning for 3D Visual Groundingcited by 0
- 2026Talk2Sensors: 3D Visual Grounding in Autonomous Driving via Sensor-Adaptive Physical Cue Matchingcited by 0
- 2026CL4D: Contrastive Language-4D Pretraining for Vision-Language Reasoning in Dynamic Scenescited by 0
- 2026CL4D: Contrastive Language-4D Pretraining for Vision-Language Reasoning in Dynamic Scenes19 Aug 2026
- 2026Talk2Sensors: 3D Visual Grounding in Autonomous Driving via Sensor-Adaptive Physical Cue Matching5 Aug 2026
- 2026PruneGround: Plug-and-play Spatial Pruning for 3D Visual Grounding30 Jun 2026
- 2026PoseRefer: Pathway-Local Parameters for Semantically Grounded Reference Resolution23 May 2026
- 2026Egocentric Co-Pilot: Web-Native Smart-Glasses Agents for Assistive Egocentric AI1 Mar 2026
- 2025A Multimodal Depth-Aware Method For Embodied Reference Understanding9 Oct 2025
- 2025CAPE: A CLIP-Aware Pointing Ensemble of Complementary Heatmap Cues for Embodied Reference Understanding29 Jul 2025