Making MLLM Latents Matter: Factor-Aware Predictive Learning for Cinematic Video Generation
This paper proposes a method to use multimodal large language models (MLLMs) to improve cinematic video generation by providing both temporal inference and factor-aware control. A practitioner might care about this paper if they want to generate more realistic and controllable videos.