Oral

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.

A very efficient differentiable renderer, tightly integrated with PyTorch and PyTorch3D.