AI BENCHMARK PROFILE
ReRef-3D
ReRef-3D benchmarks language-guided 3D scene rearrangement with 33,826 instructions across 998 scenes, evaluating placement validity and relation satisfaction.
- Released
- 2026-08-17
- Readiness
- Paper only
- Primary field
- General AI
Why it matters
It targets spatial reasoning in embodied AI and provides metrics for relation satisfaction and physical validity in rearrangement tasks.
Motivation
We introduce ReRef-3D, a benchmark for language-guided placement in 3D scenes.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.