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Justin Johnson

Co-founder, World Labs

Justin Johnson is one of the founders of World Labs, the spatial intelligence company started with Fei-Fei Li, Ben Mildenhall and Christoph Lassner, and Johnson's GitHub profile lists World Labs as Johnson's organization. Johnson is first author of papers on perceptual losses for real-time style transfer, the CLEVR visual reasoning dataset and DenseCap dense captioning, and a co-author of Mesh R-CNN and PyTorch3D.1234567

At a glance

Current role
Co-founder
Company
World Labs
Sector
Company
Work listed
3
Sources cited
8
Profile reviewed

Career

World Labs lists Johnson among its founders, together with Fei-Fei Li, Ben Mildenhall and Christoph Lassner, describing the founding team as working across machine learning, generative AI, computer vision and graphics. Johnson's GitHub profile names World Labs as Johnson's organization.12

Research

Johnson's early papers, written with Fei-Fei Li and others, include DenseCap (2015) on dense image captioning with Andrej Karpathy, the perceptual-losses paper (2016) on real-time style transfer and super-resolution, and the CLEVR dataset (2016) for diagnosing visual reasoning. Johnson's GitHub account hosts the reference code for the perceptual-losses paper in the fast-neural-style repository, alongside the densecap repository.53482

Later work moved toward 3D understanding: Johnson co-authored Mesh R-CNN (2019) with Georgia Gkioxari and Jitendra Malik, which predicts 3D meshes from images, and the 2020 paper describing the PyTorch3D library.67

Work and contributions

Timeline

  1. Posted DenseCap, on fully convolutional localization networks for dense captioning, as first author.5
  2. Posted the perceptual-losses paper on real-time style transfer and super-resolution as first author.3
  3. Posted the CLEVR visual reasoning dataset paper as first author.4
  4. Co-authored Mesh R-CNN with Georgia Gkioxari and Jitendra Malik.6
  5. Co-authored the paper describing the PyTorch3D library for 3D deep learning.7

Where they work

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References

8 sources · profile reviewed Oct 22, 2026 · data updated Oct 22, 2026

  1. About | World LabsWorld Labs · Official page · accessed Oct 22, 2026
  2. jcjohnson (Justin Johnson) on GitHubGitHub · Official page · accessed Oct 22, 2026
  3. Perceptual Losses for Real-Time Style Transfer and Super-Resolution (arXiv 1603.08155)arXiv · Paper · published Mar 27, 2016 · accessed Oct 22, 2026
  4. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning (arXiv 1612.06890)arXiv · Paper · published Dec 20, 2016 · accessed Oct 22, 2026
  5. DenseCap: Fully Convolutional Localization Networks for Dense Captioning (arXiv 1511.07571)arXiv · Paper · published Nov 24, 2015 · accessed Oct 22, 2026
  6. Mesh R-CNN (arXiv 1906.02739)arXiv · Paper · published Jun 6, 2019 · accessed Oct 22, 2026
  7. Accelerating 3D Deep Learning with PyTorch3D (arXiv 2007.08501)arXiv · Paper · published Jul 16, 2020 · accessed Oct 22, 2026
  8. jcjohnson/fast-neural-style README (code for the perceptual-losses paper)jcjohnson (GitHub repository) · Repository · accessed Oct 22, 2026