Sign inGet started
Paper · arXiv

ReRef-3D: A Benchmark for Spatial Referring Expression-Guided 3D Scene Rearrangement

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 instruction...

AuthorsMary Lynn Martin, Yifei Zhang, Martha Palmer et al.
Primary categorycs.CL
Published17 August 2026
Last updated at source17 August 2026
cs.CLcs.CV
Embed this entry
<iframe src="https://silytics.si/embed/item/b47193df-01d3-4ed3-b72d-dd30f05528f1" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.