14 papers
PerpetualWonder: Long-Horizon Action-Conditioned 4D Scene Generation
Jiahao Zhan, Zizhang Li, Hong-Xing Yu +1
We introduce PerpetualWonder, a hybrid generative simulator that enables long-horizon, action-conditioned 4D scene generation from a single image. Current works fail at this task b…
Physion-Eval: Evaluating Physical Realism in Generated Video via Human Reasoning
Qin Zhang, Peiyu Jing, Hong-Xing Yu +7
Video generation models are increasingly used as world simulators for storytelling, simulation, and embodied AI. As these models advance, a key question arises: do generated videos…
RealWonder: Real-Time Physical Action-Conditioned Video Generation
Wei Liu, Ziyu Chen, Zizhang Li +3
Current video generation models cannot simulate physical consequences of 3D actions like forces and robotic manipulations, as they lack structural understanding of how actions affe…
SurfPhase: 3D Interfacial Dynamics in Two-Phase Flows from Sparse Videos
Yue Gao, Hong-Xing Yu, Sanghyeon Chang +5
Interfacial dynamics in two-phase flows govern momentum, heat, and mass transfer, yet remain difficult to measure experimentally. Classical techniques face intrinsic limitations ne…
WonderZoom: Multi-Scale 3D World Generation
Jin Cao, Hong-Xing Yu, Jiajun Wu
We present WonderZoom, a novel approach to generating 3D scenes with contents across multiple spatial scales from a single image. Existing 3D world generation models remain limited…
Seeing the Wind from a Falling Leaf
Zhiyuan Gao, Jiageng Mao, Hong-Xing Yu +5
A longstanding goal in computer vision is to model motions from videos, while the representations behind motions, i.e. the invisible physical interactions that cause objects to def…