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EchoWM: Open and Enterable Omnimodal World Models
Abstract
EchoWM is an omnimodal world model that generates synchronized high-resolution video, sound, music, and speech while following continuous 6-DoF navigation trajectories across first- and third-person views.
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.
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An omnimodal world model for generative media that responds to continuous navigation while video, environmental sound, music, and speech evolve together.
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Cite arxiv.org/abs/2608.23189 in a model README.md to link it from this page.
Cite arxiv.org/abs/2608.23189 in a dataset README.md to link it from this page.
Cite arxiv.org/abs/2608.23189 in a Space README.md to link it from this page.
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