物理シミュレーションに基づく対話型ワールドモデル評価ベンチマークWMEval
WMEval: Evaluating Interactive World Models Grounded on Physical Simulations
Unity製物理シミュレーションを正解基準として、対話型ワールドモデルの行動制御性や物理的因果性を状態ベースで評価するベンチマークを提案した。
著者: Lanxiang Hu, Yixin Huang, Abhilash Shankarampeta, Zilin Dai, Yuyuan Wu, Kun Qian, Junze Liu, Arvind Srinivasan, Mingjia Huo, Will Lin, Kai Zhong, Weiqi Zhang, Tian Wang, Qingjun Cui, Tajana Rosing, Hao Zhang
分類: cs.CV
原文アブストラクト
Interactive world models hold immense potential for high-stakes applications in robotics, game engines, and immersive digital twins, yet existing benchmarks primarily focus on perceptual similarity rather than the physical-causal coherence essential for real-world utility. We introduce WMEval, a comprehensive benchmark that evaluates interactive world models against Unity-based physical simulations. By leveraging Unity as a high-fidelity ground-truth oracle, we shift evaluation beyond perceptual visual assessment toward the objective state-based verification required for downstream applications. Spanning 9 diverse scenes, WMEval assesses action controllability, scene and character consistency, prompt adherence, kinematics, fluid mechanics, physical causality, and lighting. By executing matched action sequences in both the simulator and the world model, WMEval enables evaluation at both the perceptual level and the physical-causal level, using simulator-derived states as reference. Experiments on state-of-the-art models reveal significant room for improvement in dimensions that remain hidden by standard perceptual metrics but are vital for real-world deployments. Our code is available at: https://github.com/hao-ai-lab/WMEval.