Zixuan Huang
Member Of Technical Staff at World Labs
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolZixuan Huang is a computer vision and deep learning researcher with six years of experience building scalable 3D generation and reconstruction systems, currently a Member of Technical Staff in San Francisco. He led research and engineering at Meta and Stability AI on interactive, editable 3D world generation and ultra-fast single-image 3D reconstruction, contributing to publicly announced products like WorldGen and open-sourcing models that earned 8.5k+ GitHub stars. His PhD work at UIUC and prior internships at Google and FAIR emphasize self-supervised and feedforward approaches to 3D learning, enabling efficient inference without dense 3D supervision. Zixuan blends full-stack model development, large-scale data engineering, and research leadership to push foundation models that make 3D worlds interactive and editable—often achieving production-grade performance from research prototypes.
6 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Wisconsin-MadisonDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia Institute of TechnologyBachelor of Engineering - BE, EECS, Bachelor of Engineering - BE, EECS at University of Science and Technology of ChinaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Urbana-Champaign
Github Skills (18)
ranking10
react9
science9
computer-science9
image-processing7
3d-reconstruction7
computer-vision6
image-segmentation6
paper6
semantic-segmentation6
python6
object-detection5
deep-learning5
machine-learning5
transformers5
Programming languages (1)
Github contributions (5)
zxhuang1698/signed-distance-SRN
Oct 2020 - Nov 2020
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images 🎯 (NeurIPS 2020)
Contributions:156 pushes in 26 days
reconstructionneurips-2020sdfsignedneurips
zxhuang1698/interpretability-by-parts
Apr 2020 - Aug 2020
Contributions:6 commits, 5 pushes, 1 branch in 4 months
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