Zhongxiao Cong

Flow3r: Factored Flow Prediction for Scalable Visual Geometry Learning

Current feed-forward 3D/4D reconstruction systems rely on dense geometry and pose supervision - expensive to obtain at scale and particularly scarce for dynamic real-world scenes. We present Flow3r, a framework that augments visual geometry learning with dense 2D correspondences ('flow') as supervis