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Yi-Hua Du

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Preprint Sep 2026

SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models

We introduce SolarWM, a fully open foundation for building interactive video world models from data preparation through long-horizon inference. Training across heterogeneous data sources and video backbones is challenging: datasets differ in temporal scale, camera geometry, visual quality, motion, and captioning styles...

Jun-Chao Huang, Gui-An Fang, Sheng-Ju Qian et al. · 1 citation
Preprint Aug 2026

ReWorld: An Interactive World Model with Long-Horizon Memory

ReWorld separates the two during training and bounds them at inference, and under a three-axis protocol covering action following, long-horizon recall, and video quality, against six recent interactive world models it attains the best control fidelity.

Zhifei Chen, Luozhou Wang, Gui-Bao Shen et al. · 3 citations · ⚡1

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