3D Visual Grounding
Overview
Three-dimensional visual grounding studies how to locate and identify the objects or regions described by language or images, often predicting a 3D box, point, or mask. Systems combine language and visual features with point-cloud geometry, scene graphs, or multi-view RGB-D evidence; newer approaches also use vision-language models, Gaussian splatting, and tool-using agents. Benchmarks such as ScanRefer, Nr3D, and SceneFun3D test referring expressions, relational descriptions, and functional regions, while open-vocabulary methods aim to handle unseen objects and scenes. Performance is improving, but reliable grounding remains difficult when viewpoints, ambiguous language, occlusion, or metric spatial constraints matter.
Latest papers
142 papers21 papers in the last four weeks, up 5% on the four weeks before. 0.1% of all new papers.