Philipp Henzler

I am a Research Scientist at Google. Prior to that I received my PhD from University College London under the supervision of Tobias Ritschel and Niloy J. Mitra.

During my PhD, I interned at Facebook AI Research (FAIR), working with David Novotny and Andrea Vedaldi and at Adobe Research supervised by Milos Hasan and Kalyan Sunkavalli.

I completed a BSc and MSc in Media Informatics at Ulm University, where I was supervised by Timo Ropinski.

My research interests lie at the intersection of 3D computer vision, computer graphics and machine learning.

Research

IllumiNeRF: 3D Relighting without Inverse Rendering

IllumiNeRF: 3D Relighting without Inverse Rendering

Xiaoming Zhao, Pratul P. Srinivasan, Dor Verbin, Keunhong Park, Ricardo Martin-Brualla, Philipp Henzler
arXiv, 2024

Project page arXiv
CAT3D: Create Anything in 3D with Multi-View Diffusion Models

CAT3D: Create Anything in 3D with Multi-View Diffusion Models

Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron, Ben Poole
arXiv, 2024

Project page arXiv
ReconFusion: 3D Reconstruction with Diffusion Priors

ReconFusion: 3D Reconstruction with Diffusion Priors

Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Holynski
CVPR, 2024

Project page arXiv
CamP: Camera Preconditioning for Neural Radiance Fields

CamP: Camera Preconditioning for Neural Radiance Fields

Keunhong Park, Philipp Henzler, Ben Mildenhall, Jonathan T. Barron, Ricardo Martin-Brualla
SIGGRAPH Asia, 2023 Journal Paper

Project page arXiv
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 PhD Thesis Award

Project page PDF
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction

Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction

Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbodorne, Patrick Labatut, David Novotny
ICCV 2021 Oral, Best Paper Honorable Mention

Project page PDF arXiv Code Dataset
Generative Modelling of BRDF Textures from Flash Images

Generative Modelling of BRDF Textures from Flash Images

Philipp Henzler, Valentin Deschaintre, Niloy J. Mitra, Tobias Ritschel
SIGGRAPH ASIA 2021 Journal Paper

Project page arXiv Dataset
Unsupervised Learning of 3D Object Categories from Videos in the Wild

Unsupervised Learning of 3D Object Categories from Videos in the Wild

Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotny
CVPR 2021

Project page PDF arXiv
Learning a Neural 3D Texture Space from 2D Exemplars

Learning a Neural 3D Texture Space from 2D Exemplars

Philipp Henzler, Niloy J. Mitra, Tobias Ritschel
CVPR 2020

Project page PDF arXiv Dataset
Escaping Plato's Cave: 3D Shape From Adversarial Rendering

Escaping Plato's Cave: 3D Shape From Adversarial Rendering

Philipp Henzler, Niloy J. Mitra, Tobias Ritschel
ICCV 2019

Project page PDF arXiv Code
Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs

Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs

Nico Engel, Stefan Hoermann, Philipp Henzler, Klaus Dietmayer
ITSC 2018

PDF
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

Stefan Hoermann, Philipp Henzler, Martin Bach, Klaus Dietmayer
IV 2018

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

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

Philipp Henzler, Volker Rasche, Timo Ropinski, Tobias Ritschel
Eurographics 2018

PDF Code
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

PDF

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