We propose a scalable 4D dynamic reconstruction model trained only on real-world monocular RGB videos.

The first feed-forward reconstruction model for scene-level deformable 3DGS from a monocular video

Flux4D is a simple, scalable framework for unsupervised 4D reconstruction of large-scale driving scenes.