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Lift4D is a test-time optimization framework that reconstructs complete dynamic objects from monocular video. It adapts a single-view 3D model for temporally consistent per-frame predictions, then sculpts a deformable 3D Gaussian Splatting representation using occlusion-aware optimization and a diffusion prior. The method outperforms prior approaches on sequences with severe occlusions and non-rigid motion.
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