World-in-World
Dataset Analysis
Introduces World-in-World, a platform for benchmarking world models in closed-loop embodied environments, revealing that controllability and post-training scaling matter more than visual quality.
Provenance
Collected from papers.
Derived from paper: World-in-World: World Models in a Closed-Loop World