Reconstructing dynamic objects from monocular videos is a severely underconstrained and
challenging problem and recent work has approached it in various directions. However …

Recent years have witnessed significant progress in the field of neural surface
reconstruction. While extensive focus was put on volumetric and implicit approaches, a …

Accurate 3D tracking in highly deformable scenes with occlusions and shadows can
facilitate new applications in robotics, augmented reality, and generative AI. However …

Reconstructing models of the real world, including 3D geometry, appearance, and motion of
real scenes, is essential for computer graphics and computer vision. It enables the …

Existing methods for the 4D reconstruction of general, non-rigidly deforming objects focus on
novel-view synthesis and neglect correspondences. However, time consistency enables …

We introduce a novel bottom-up approach for human body mesh reconstruction, specifically
designed to address the challenges posed by partial visibility and occlusion in input images …

Addressing the intricate challenge of modeling and re-rendering dynamic scenes most
recent approaches have sought to simplify these complexities using plane-based explicit …

Dynamic scene reconstruction is a long-term challenge in 3D vision. Recent methods extend
3D Gaussian Splatting to dynamic scenes via additional deformation fields and apply explicit …

Numerous recent approaches to modeling and re-rendering dynamic scenes leverage plane-
based explicit representations, addressing slow training times associated with models like …

Point cloud video representation learning is challenging due to complex structures and
unordered spatial arrangement. Traditional methods struggle with frame-to-frame …