HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture

We create a metrically accurate hair representation using neural rendering primitives and optical flow.

Virtual Elastic Objects

We create virtual objects that visually and physically resemble their real counterparts.

Neural 3D Video Synthesis

We propose a novel approach for 3D video synthesis that is able to represent multi-view video recordings of a dynamic real-world scene in a compact, yet expressive representation that enables high-quality view synthesis and motion interpolation.

Self-supervised Neural Articulated Shape and Appearance Models

We propose a novel approach for learning a representation of the geometry, appearance, and motion of a class of articulated objects given only a set of color images as input.