Author

Ji-Hai Zhang

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Preprint Oct 2026

WorldProbe: When Video World Models Fall Apart under Long-Horizon Spatial Exploration

Video world models generate future visual observations from camera or action inputs, with the goal of synthesizing persistent 3D worlds that can be explored across time and space. Existing benchmarks typically evaluate short interactions or rely on camera trajectories fixed before generation. The performance of video w...

Min-Qi Wang, Jie Peng, He-Jun Dong et al. · 1 citation

Preprint Oct 2026

Matrix-Game 4.0: Harnessing Video Models for Real-Time Playable Game Worlds

Moving from controllable videos to genuinely playable worlds requires persistent world state, executable game rules, and low-latency interaction. We outline a roadmap for the next generation of Matrix-Game that separates game execution from visual generation through an executable game harness, and introduce Matrix-Game...

Ji-Hai Zhang, Run-Jia Qian, Kai Kong et al. · 4 citations

#machine learning Preprint Nov 2026

PlayGen2: Learning Real-Time Playable Worlds with Explicit 3D State

PlayGen2, a real-time interactive world model that separates learned 3D state evolution from neural rendering, is presented and zero-shot deployment on unseen Doom maps, multiplayer interaction through the composition of single-player models, and programmable gameplay through rule-based state interventions are demonstr...

Ji-Hai Zhang, Yu-Han Zhou, Jun-You Li et al. · 0 citations