Lift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild
lift4d.github.io · 576 words · saved by 1 readers
Lift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild.
Carnegie Mellon University *Equal co-advising. Lift4D reconstructs the full geometry, appearance, and deformation of dynamic objects in a scene, including regions never observed by the camera, from a single monocular in-the-wild video. Abstract Reconstructing complete dynamic objects from monocular video requires integrating visual cues from direct observations with data-driven priors over geometry and appearance. Prior approaches either learn to directly predict per-frame 3D representations from visual input or initialize a 3D representation that is subsequently deformed and refined…
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