3 papers
cs.AI2026
Dual Exam: Controlled Evaluation of Multimodal Agents and World Models
Zhefan Rao, Meng Chu, Xuan Zhang +93
World Models (WMs) can support Multimodal Agents (MAs) through simulated experience, while Agent trajectories can inform World Model refinement. Evaluating this interaction require…
cs.RO2026
RoboPhys-3D: A Comprehensive Embodied World Model Evaluation via 3D Reconstruction
Tianyi Wang, Jiazhou Chen, Yiming Xu +7
Video world models increasingly serve as data engines, action planners, and simulators for embodied AI, but conventional embodied world model (EWM) benchmarks lack a unified 3D-gro…
cs.CV2026
Learning Domain Agnostic Latent Embeddings of 3D Faces for Zero-shot Animal Expression Transfer
Yue Wang, Lawrence Amadi, Xiang Gao +4
We present a zero-shot framework for transferring human facial expressions to 3D animal face meshes. Our method combines intrinsic geometric descriptors (HKS/WKS) with a mesh-agnos…