Unconstrained Pedestrian Navigation based on Vibro-tactile Feedback around the Wristband of a Smartwatch. - David Dobbelstein; Philipp Henzler; Enrico Rukzio (CHI Extended Abstracts, 2016)

Single-image Tomography: 3D Volumes from 2D X-Rays. - Philipp Henzler; Volker Rasche; Timo Ropinski; Tobias Ritschel 001 (CoRR, 2017)

Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs. - Nico Engel; Stefan Hoermann 002; Philipp Henzler; Klaus Dietmayer (ITSC, 2018)

Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation. - Stefan Hoermann 002; Philipp Henzler; Martin Bach; Klaus Dietmayer (Intelligent Vehicles Symposium, 2018)

Single-image Tomography: 3D Volumes from 2D Cranial X-Rays. - Philipp Henzler; Volker Rasche; Timo Ropinski; Tobias Ritschel 001 (Comput. Graph. Forum, 2018)

Escaping Plato's Cave using Adversarial Training: 3D Shape From Unstructured 2D Image Collections. - Philipp Henzler; Niloy J. Mitra; Tobias Ritschel 001 (CoRR, 2018)

Escaping Plato's Cave: 3D Shape From Adversarial Rendering. - Philipp Henzler; Niloy J. Mitra; Tobias Ritschel 001 (ICCV, 2019)

Learning a Neural 3D Texture Space From 2D Exemplars. - Philipp Henzler; Niloy J. Mitra; Tobias Ritschel 001 (CVPR, 2020)

Unsupervised Learning of 3D Object Categories From Videos in the Wild. - Philipp Henzler; Jeremy Reizenstein; Patrick Labatut; Roman Shapovalov; Tobias Ritschel 001; Andrea Vedaldi; David Novotný (CVPR, 2021)

Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction. - Jeremy Reizenstein; Roman Shapovalov; Philipp Henzler; Luca Sbordone; Patrick Labatut; David Novotný (ICCV, 2021)

Generative modelling of BRDF textures from flash images. - Philipp Henzler; Valentin Deschaintre; Niloy J. Mitra; Tobias Ritschel 001 (ACM Trans. Graph., 2021)

CamP: Camera Preconditioning for Neural Radiance Fields. - Keunhong Park; Philipp Henzler; Ben Mildenhall; Jonathan T. Barron; Ricardo Martin-Brualla (ACM Trans. Graph., 2023)

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)

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 (NeurIPS, 2024)

IllumiNeRF: 3D Relighting Without Inverse Rendering. - Xiaoming Zhao; Pratul P. Srinivasan; Dor Verbin; Keunhong Park; Ricardo Martin-Brualla; Philipp Henzler (NeurIPS, 2024)

Generative Multiview Relighting for 3D Reconstruction under Extreme Illumination Variation. - Hadi Alzayer; Philipp Henzler; Jonathan T. Barron; Jia-Bin Huang; Pratul P. Srinivasan; Dor Verbin (CVPR, 2025)

Can Generative Video Models Help Pose Estimation? - Ruojin Cai; Jason Y. Zhang 004; Philipp Henzler; Zhengqi Li; Noah Snavely; Ricardo Martin-Brualla (CVPR, 2025)

SimVS: Simulating World Inconsistencies for Robust View Synthesis. - Alex Trevithick; Roni Paiss; Philipp Henzler; Dor Verbin; Rundi Wu; Hadi Alzayer; Ruiqi Gao; Ben Poole; Jonathan T. Barron; Aleksander Holynski; Ravi Ramamoorthi; Pratul P. Srinivasan (CVPR, 2025)

CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation. - Nikolai Kalischek; Michael Oechsle; Fabian Manhardt; Philipp Henzler; Konrad Schindler; Federico Tombari (ICLR, 2025)

Bolt3D: Generating 3D Scenes in Seconds. - Stanislaw Szymanowicz; Jason Y. Zhang 004; Pratul P. Srinivasan; Ruiqi Gao; Arthur Brussee; Aleksander Holynski; Ricardo Martin-Brualla; Jonathan T. Barron; Philipp Henzler (CoRR, 2025)