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Christoph Lassner

Research Scientist

Facebook Reality Labs

Biography

I am a Machine Learning and Computer Vision researcher making machines understand and generate representations of humans in 2D and 3D. I joined Facebook Reality Labs in March 2019 to make my vision of better and easier interaction between humans and machines become a reality.

Before joining Facebook, 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
  • Human Motion Modelling
  • Differentiable Rendering

Recent Publications

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ANR: Articulated Neural Rendering for Virtual Avatars

We extend deferred neural rendering to articulated settings, specifically humans, and demonstrate fast and high quality rendering performance.

Pulsar: Efficient Sphere-based Neural Rendering

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

TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video

We propose a new method to reconstruct a mesh-based avatar from RGB-D video taking albedo and lighting into account.

ARCH: Animatable Reconstruction of Clothed Humans

We propose a novel, end-to-end pipeline to reconstruct detailed animatable avatars from a single picture.

Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations

Extending cycle consistency models to learn mappings between 2D images and parameterized 3D models.