CineFusion: A Multimodal AI Framework for Cinematic Scene Visualization Using Diffusion Models and Large Language Models
Abstract
CineFusion is an AI multimodal framework that produces cinematic content such as images, short video clips, story and song based on the natural language. It uses diffusion models, Gemini pro (LLM) and temporal gaussian splatting to provide high-quality visual and textual content. CineFusion is conceived as an energy-efficient, web-hosted platform with a focus on sustainable inference and accessibility. The platform combines advanced 3D-aware view synthesis with content-adaptive cinematic camera controls, story extraction, and mood-driven music generation to make sure that the visual, textual, and auditory parts all work together in a deep way. It is in line with several UN Sustainable Development Goals, encouraging innovation (SDG 9), education (SDG4), and sustainable production (SDG12). CineFusion illustrates the capacity of generative AI in the process of storytelling, learning and creative industries.
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