TARS: Timestep-Aware Data Scaling for 3D-Free Video Re-Shooting
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TL;DR - TARS is a 3D-free, text-controlled video re-shooting method that changes camera motion, viewpoint, shot scale, and perspective without paired trajectory data or explicit 3D reconstruction. It improves control and temporal consistency while synthesizing content beyond the original view.
- Sensitivity analysis finds that camera motion is mainly established during high-noise diffusion stages.
- Self-supervised training learns camera dynamics and visual representations without paired re-shooting videos.
- Joint text and camera conditioning enables reverse angles, large camera movements, and first-/third-person switching.
- Experiments report more accurate and temporally consistent camera control than prior methods.
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TARS: Timestep-Aware Data Scaling for 3D-Free Video Re-Shooting
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Hugging Face upvotes 116
TL;DR - TARS is a 3D-free, text-controlled video re-shooting method that changes camera motion, viewpoint, shot scale, and perspective without paired trajectory data or explicit 3D reconstruction. It improves control and temporal consistency while synthesizing content beyond the original view.
- Sensitivity analysis finds that camera motion is mainly established during high-noise diffusion stages.
- Self-supervised training learns camera dynamics and visual representations without paired re-shooting videos.
- Joint text and camera conditioning enables reverse angles, large camera movements, and first-/third-person switching.
- Experiments report more accurate and temporally consistent camera control than prior methods.