In pre-production, filmmakers and 3D animation experts must rapidly prototype ideas to explore a film's possibilities before fullscale production, yet conventional approaches involve trade-offs in efficiency and expressiveness. Hand-drawn storyboards often lack spatial precision needed for complex cinematography, while 3D previsualization demands expertise and high-quality rigged assets. To address this gap, we present PrevizWhiz, a system that leverages rough 3D scenes in combination with generative image and video models to create stylized video previews. The workflow integrates frame-level image restyling with adjustable resemblance, time-based editing through motion paths or external video inputs, and refinement into high-fidelity video clips. A study with filmmakers demonstrates that our system lowers technical barriers for film-makers, accelerates creative iteration, and effectively bridges the communication gap, while also surfacing challenges of continuity, authorship, and ethical consideration in AI-assisted filmmaking.

翻译：在电影制作的前期筹备阶段，导演与三维动画专家必须在全面投入制作前快速原型化创意，以探索影片的多种可能性，然而传统方法往往需要在效率与表现力之间做出权衡。手绘故事板通常缺乏复杂镜头调度所需的空间精度，而三维预可视化则要求专业知识和高质量绑定资产。为弥补这一差距，我们提出了PrevizWhiz系统，该系统利用粗略三维场景结合生成式图像与视频模型，创建风格化的视频预览。其工作流程集成了具有可调相似度的帧级图像风格重绘、通过运动路径或外部视频输入进行基于时间的编辑，以及最终细化为高保真视频片段。一项针对电影制作人的研究表明，我们的系统降低了电影工作者的技术门槛，加速了创意迭代，并有效弥合了沟通鸿沟，同时也揭示了AI辅助电影制作中连续性、作者身份与伦理考量等方面的挑战。