BulletGen: Improving 4D Reconstruction with Bullet-Time Generation

ArXi:2506.18601v2 Announce Type: replace-cross Transforming casually captured, monocular videos into fully immersive dynamic experiences is a highly ill-posed task, and comes with significant challenges, e.g., reconstructing unseen regions, and dealing with the ambiguity in monocular depth estimation. In this work we