框架通过双分支神经网络架构，分别处理相机运动参数（包含俯仰角、方位角等6DoF数据）和物体运动场（采用3D光流表示）。用户可通过JSON配置文件精确设定：1) 相机采用轨道环绕或第一人称推进模式；2) 物体运动支持关键帧插值或物理仿真驱动。在汽车场景测试中，系统能自动分离车身移动与摄像头抖动，运动分离准确率达89.2%，远超NVIDIA的Vid2Vid方案。该技术已用于多个元宇宙项目的背景动画生成。
This answer comes from the articleGenXD: open source framework for generating videos of arbitrary 3D and 4D scenesThe
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