Jianhui Zhang

In dynamic world modeling, the same observations must condition repeated generation at different times and viewpoints, and prior pipelines rendered the reconstructed scene to RGB and re-encoded it for every request. 4LC binds visual representations of static and dynamic content from several encoders to shared geometry and motion, forming a 4D latent cache that is read directly at independently specified times and viewpoints. Under identical generation settings, conditioning falls from 14.9% to 0.25% of end-to-end generation time, and a single 4LC-Video model covers camera control, temporal control, novel-view synthesis, scene revisits and long-term generation without task-specific fine-tuning.

In dynamic world modeling, the same observations must condition repeated generation at different times and viewpoints, and prior pipelines rendered the reconstructed scene to RGB and re-encoded it for every request. 4LC binds visual representations of static and dynamic content from several encoders to shared geometry and motion, forming a 4D latent cache that is read directly at independently specified times and viewpoints. Under identical generation settings, conditioning falls from 14.9% to 0.25% of end-to-end generation time, and a single 4LC-Video model covers camera control, temporal control, novel-view synthesis, scene revisits and long-term generation without task-specific fine-tuning.