子弹时间：用于视频生成的时空解耦控制框架 / BulletTime: Decoupled Control of Time and Camera Pose for Video Generation
1️⃣ 一句话总结
这篇论文提出了一个名为‘子弹时间’的新框架，它能够像独立调节时间和摄像机视角一样，分别精确控制生成视频中场景的动态变化和拍摄角度，从而解决了现有视频生成模型难以实现精细时空控制的问题。
🤖 系统
Abstract - BulletTime: Decoupled Control of Time and Camera Pose for Video Generation
Emerging video diffusion models achieve high visual fidelity but fundamentally couple scene dynamics with camera motion, limiting their ability to provide precise spatial and temporal control. We introduce a 4D-controllable video diffusion framework that explicitly decouples scene dynamics from camera pose, enabling fine-grained manipulation of both scene dynamics and camera viewpoint. Our framework takes continuous world-time sequences and camera trajectories as conditioning inputs, injecting them into the video diffusion model through a 4D positional encoding in the attention layer and adaptive normalizations for feature modulation. To train this model, we curate a unique dataset in which temporal and camera variations are independently parameterized; this dataset will be made public. Experiments show that our model achieves robust real-world 4D control across diverse timing patterns and camera trajectories, while preserving high generation quality and outperforming prior work in controllability. See our website for video results: this https URL