TARS: Timestep-Aware Data Scaling for 3D-Free Video Re-Shooting
This work proposes TARS, a 3D-free video re-shooting paradigm that provides more accurate and temporally consistent camera control than prior methods, and introduces self-supervised training to learn camera dynamics and fundamental visual representations without paired re-shooting data or 3D reconstruction.