Philipp Henzler

Research Scientist, Google

I am a Research Scientist at Google working on agents, world models (Genie) and video models (Gemini Omni). I received my PhD from University College London supervised by Tobias Ritschel and Niloy J. Mitra. My PhD thesis received the Eurographics PhD Thesis award 2024. I received my BSc and MSc from Ulm University in Germany where I am originally from.


Product Impact

Genie

Genie

Google DeepMind and collaborators
Flow, 2026
Google DeepMind's real-time interactive world model.
Gemini Omni

Gemini Omni

Omni team and collaborators at Google DeepMind
Gemini / Flow, 2026
A video model that creates videos from any input.
Veo 2/3

Veo 2/3

Veo team and collaborators at Google DeepMind
Flow, 2025
Google DeepMind's state of the art generative video model with audio.
Google Search 360-spins

Google Search 360-spins

Team and collaborators at Google
Google Search, 2022-2025
AI-generated 360-degree spins of products.

Research

Gen2Physics: Grounding Generated 3D Meshes in Physics via Multi-View Material Decomposition

Gen2Physics: Grounding Generated 3D Meshes in Physics via Multi-View Material Decomposition

arXiv, 2026
Can Generative Video Models Help Pose Estimation?
CamP: Camera Preconditioning for Neural Radiance Fields
Self-Supervised Shape and Appearance Modeling via Neural Differentiable Graphics

Self-Supervised Shape and Appearance Modeling via Neural Differentiable Graphics

Philipp Henzler
University College London (UCL), PhD thesis, 2023 Eurographics Best PhD Thesis Award
Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs

Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs

ITSC 2018
Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation

Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation

IV 2018
Single-Image Tomography: 3D Volumes from 2D Cranial X-Rays

Single-Image Tomography: 3D Volumes from 2D Cranial X-Rays

Eurographics 2018
Unconstrained Pedestrian Navigationbased on Vibro-tactile Feedback around the Wristband of a Smartwatch

Unconstrained Pedestrian Navigationbased on Vibro-tactile Feedback around the Wristband of a Smartwatch

David Dobbelstein, Philipp Henzler, Enrico Rukzio
CHI 2016

Invited Talks & Panels

3D GenAI, Physical AI, World Models

NYC Tech Week June 2026

Generative 3D Content Creation

GenRecon3D Workshop, CVPR 2026 June 2026
Ulm University December 2025
Korea Advanced Institute of Science and Technology (KAIST) November 2025
AI3DCC Workshop, ICCV 2025 October 2025

Why 3D Matters: The Future of Video Models Depends On It

Amazon March 2025
Meta March 2025

Self-Supervised Shape and Appearance Modelling via Neural Differentiable Graphics

Apple June 2022
Netflix May 2022
Google April 2022
Lund University April 2022
National Institute for Research in Digital Science and Technology (Inria) March 2022

Understanding Our World in 3D

Rabin Ezra Scholarship Trust 2021

Single-Image Tomography: 3D Volumes from 2D Cranial X-Rays

Eurographics April 2018
University College London (UCL) March 2018

Mentored Students and Interns

Xiaoyan Xing (University of Amsterdam) SIGGRAPH, 2026
Orest Kupyn (University of Oxford) arXiv, 2026
Mauro Comi (University of Bristol) arXiv, 2026
Kyle Sargent (Stanford University) CVPR, 2026
Haofei Xu (ETH Zurich) ICML, 2026
Gene Chou (Cornell University) NeurIPS, 2026
Nikolai Kalischeck (ETH Zurich) ICLR, 2025
Ruojin Cai (Cornell University) CVPR, 2025
Jiapeng Tang (Technical University of Munich) NeurIPS, 2025
Stanislaw Szymanowicz (University of Oxford) ICCV, 2025
Hadi Alzayer (University of Maryland) CVPR, 2025
Alex Trevithick (UC San Diego) CVPR, 2025
Xiaoming Zhao (University of Illinois Urbana-Champaign) NeurIPS, 2024
Demian Till (University College London) 2021

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