Recovering a skeletal shape from a monocular video is a longstanding challenge. Prevailing
nonrigid animal reconstruction methods often adopt a control-point driven animation model …

We explore the task of embodied view synthesis from monocular videos of deformable
scenes. Given a minute-long RGBD video of people interacting with their pets, we render the …

We introduce GoMAvatar a novel approach for real-time memory-efficient high-quality
animatable human modeling. GoMAvatar takes as input a single monocular video to create …

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 …

Single-view RGB-D human reconstruction with implicit functions is often formulated as per-
point classification. Specifically, a set of 3D locations within the view-frustum of the camera …

In this paper, we present methods for capturing 4D body shapes of swimming fish with
affordable small training datasets and textureless 2D videos. Automated capture of …

We present aSDF, a continual learning system based on attention for real-time signed
distance field reconstruction. Given a stream of posed monocular RGB images from a …