I am a Machine Learning and Computer Vision researcher making machines understand and generate representations of humans in 2D and 3D. I joined Meta Reality Labs Research in March 2019 to make my vision of better and easier interaction between humans and machines become a reality.
Before joining Meta, I worked at a startup which was acquired by Amazon. I did my PhD at the Bernstein Center for Computational Neuroscience Tübingen and the Max Planck Institute for Intelligent Systems.
We create a metrically accurate hair representation using neural rendering primitives and optical flow.
We create virtual objects that visually and physically resemble their real counterparts.
We present a state-of-the-art report on the latest advances in neural rendering with a focus on methods that combine classical rendering principles with learned 3D scene representations.
A very efficient differentiable renderer, tightly integrated with PyTorch and PyTorch3D.