ReRef-3D: A Benchmark for Spatial Referring Expression-Guided 3D Scene Rearrangement
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Computer Science > Computation and Language
Title:ReRef-3D: A Benchmark for Spatial Referring Expression-Guided 3D Scene Rearrangement
Abstract:We introduce ReRef-3D, a benchmark for language-guided placement in 3D scenes. It contains 33,826 instructions across 998 CLEVR-derived scenes, spanning 16 placement families and direct, one-hop, and two-hop references. Each instruction must be resolved into a valid new placement position. Given that an instruction defines a region of acceptable placements rather than one coordinate, our evaluation inserts a prediction into the scene, recomputes relations, and tests relation satisfaction and physical validity. Each instruction also includes a verified naturalized rewrite. After fine-tuning, LLaVA-3D, 3D-LLM, and PlaceIt3D produce valid placements for 68.3%, 31.6%, and 22.4% of instructions, respectively. Across models, relation satisfaction surpasses physical validity, relations such as nearest and between are the most difficult, and phrasing has minimal effect on performance.
| Comments: | 18 pages, 4 figures. Submitted to ACL Rolling Review (ARR) |
| Subjects: | Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV) |
| ACM classes: | I.2.7; I.2.10 |
| Cite as: | arXiv:2608.16011 [cs.CL] |
| (or arXiv:2608.16011v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2608.16011
arXiv-issued DOI via DataCite (pending registration)
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