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This work explores model performance on multi-step world state prediction, a high-level task that requires models to forecast successive future world states from multimodal observations and diverse references, and highlights the need for multimodal generative models that are capable of dynamic planning and reasoning wh...
Transforming multimodal sources into condensed and structured media outputs can be fundamentally conceptualized as a long-horizon agentic process centered on a model-harness system. While an ideal harness system should align with human design priors and accumulate reusable experience through empirical exploration to dr...
VideoCoCo, an agentic dual-engine framework in which executable Blender code serves as a process-level chain of thought, demonstrates that executable code provides an effective, controllable, and inspectable intermediate representation for physically consistent video generation.
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