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Christoph Lassner

Research Scientist

Meta Reality Labs Research

Biography

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.

Interests

  • Machine Learning
  • 2D and 3D Human Body Modelling
  • Differentiable and Neural Rendering

Recent Publications

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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.

Advances in Neural Rendering

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.