| title | EchoWM: Open and Enterable Omnimodal World Models |
|---|---|
| authors | Songchun Zhang, Yaowei Li, Junhao Zhuang, Weiyang Jin, Haoyu Wang, Xin Lu, Yilang Sun, Shiyi Zhang, Haoran Li, Xiaoxiao Ma, Yuming Li, Yijun Liu, Yaofeng Su, Yanwen Ma, Haoyu Wu, Zihan Su, Yue Ma, Lvmin Zhang, Haoyang Huang, Zeyue Xue, Anyi Rao, Nan Duan |
| date | 2026-08-24 |
| venue | arXiv (preprint, not peer reviewed) |
| id | arXiv:2608.23189 |
| affiliation | JD.com Open Source |
| upvotes | 62 (Hugging Face Daily Papers, 2026-11-01) |
| links | abs pdf hf |
| primer | World models |
| abstract | We present EchoWM, an omnimodal world model for enterable generative media that responds to continuous navigation while jointly generating 720p video, environmental sound, music and speech. We organize interaction around camera intent: in first-person scenes, it specifies observer motion, while in third-person scenes, camera--character dynamics are learned from data without view-specific controllers. Discrete commands and continuous poses are mapped to a shared metric-scale relative 6-DoF trajectory, with dataset-level calibration preserving motion magnitude across heterogeneous data. To jointly learn audio-visual generation and trajectory control, we construct a complementary data engine and adopt progressive training followed by autoregressive post-training for long-horizon generation. Extensive evaluations show that \model achieves strong trajectory following and high visual quality on public world-model benchmarks, supporting both first- and third-person interaction across varied subjects, and maintaining synchronized environmental sound and speech over long-horizon generation. |
cite
@misc{zhang2026echowm,
title={EchoWM: Open and Enterable Omnimodal World Models},
author={Songchun Zhang and Yaowei Li and Junhao Zhuang and Weiyang Jin and Haoyu Wang and Xin Lu and Yilang Sun and Shiyi Zhang and Haoran Li and Xiaoxiao Ma and Yuming Li and Yijun Liu and Yaofeng Su and Yanwen Ma and Haoyu Wu and Zihan Su and Yue Ma and Lvmin Zhang and Haoyang Huang and Zeyue Xue and Anyi Rao and Nan Duan},
year={2026},
eprint={2608.23189},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2608.23189}
}