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HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Wed, 07 May 2025 22:06:50 GMT access-control-allow-origin: * etag: W/"681bd97a-3423" expires: Mon, 29 Dec 2025 12:43:43 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: E3F8:21D6A4:8E3907:9F7C02:69527526 accept-ranges: bytes age: 0 date: Mon, 29 Dec 2025 12:33:43 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210062-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767011623.139124,VS0,VE223 vary: Accept-Encoding x-fastly-request-id: 8cd2113896b91f6a2a294f7207b2ab4e665611b0 content-length: 3417 Lars Jebe

Hi! I'm Lars.

I'm a hands-on builder and researcher based in Silicon Valley, passionate about computational photography and creating stunning visual content.

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News [May 2025]: I am building something new and we're hiring! Reach out if you're deeply technical and love creating visual content using generative AI!

News [Oct 2024]: Adobe just launched the "Adobe Adaptive Profile" in Camera Raw! Check out our blog post that explains the underlying technology!

About Me

Before beginning another startup journey in May 2025, I worked at Adobe for four years, building cool new features for mobile cameras in Marc Levoy's computational photography team. Prior to Adobe, I was part of the Compute Team at Raxium which was recently acquired by Google. I hold a master's degree in Electrical Engineering from Stanford University, and a bachelor's degree in Electrical Engineering and Information Technology from RWTH Aachen University.

Outside of work you can either find me playing piano, hiking with my Siberian Husky Lucy, or searching for new places to go kitesurfing.

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Research + Projects

DiffusionRig: Learning Personalized Priors for Facial Appearance Editing‍

Z. Ding, C. Zhang, Z. Xia, L. Jebe, Z. Tu, X. Zhang
CVPR 2023

project page | arXiv
Neural Photo-Finishing
‍

E. Tseng, Y. Zhang, L. Jebe, C. Zhang, Z. Xia, Y. Fan, F. Heide, J. Chen
SIGGRAPH Asia 2022

project page | paper
Neural Lumigraph Rendering
‍

P. Kellnhofer, L. Jebe, A. Jones, R. Spicer, K. Pulli, G. Wetzstein
CVPR 2021 (best paper candidate)

project page | arXiv | dataset