4DAnyone

4DAnyone is an open-source generative AI pipeline from ant-research that converts a casual monocular video of one person into synchronized videos from multiple virtual camera views for downstream 3D or 4D Gaussian-splatting reconstruction. It supports configurable camera layouts, including full 360-degree or frontal-arc coverage, multiple pitch layers, adjustable yaw ranges, and flexible view counts. The repository provides inference scripts, automatically downloadable models and examples, motion-recovery outputs, camera metadata, skeleton videos, and generated target-view videos. Input footage should be at least 720p, preferably 1080p, use a 9:16 portrait aspect ratio, contain a single person in a full-body or upper-body shot, include at least 121 frames, and have only mild camera motion.