EchoWM: Open and Enterable Omnimodal World Models

World model for enterable generative media that responds to continuous navigation while producing 720p video with synchronized environmental sound, music, and speech. Interaction is organized around camera intent: first-person scenes use the camera to define observer motion; third-person scenes learn camera-character dynamics from data. Both discrete commands and continuous poses are mapped to a shared metric-scale relative 6-DoF trajectory with dataset-level motion calibration. A complementary data engine and progressive training scheme plus autoregressive post-training support joint learning of audio-visual generation and trajectory control. Authors report strong trajectory following and visual quality on public world-model benchmarks with both first- and third-person interaction.