Anton Obukhov

Principal Researcher, Zurich Research Center, Bayer Lab, Huawei Technologies Ltd.

Joined

February 2020

Names

Anton Obukhov (Preferred)

Emails

****@vision.ee.ethz.ch (Confirmed)

****@gmail.com (Confirmed)

****@ethz.ch (Confirmed)

****@huawei.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Principal Researcher

Zurich Research Center, Bayer Lab, Huawei Technologies Ltd. (huawei.com)

2024 – Present

Postdoc

Civil, Environmental and Geomatic Engineering, ETHZ - ETH Zurich (ethz.ch)

2022 – 2024

PhD student

Electrical Engineering, ETHZ - ETH Zurich (ethz.ch)

2018 – 2022

Advisors, Relations & Conflicts

Coworker

Dengxin Dai

2024 – Present

Postdoc Advisor

Konrad Schindler

2022 – 2024

PhD Advisor

Luc Van Gool

2018 – 2022

Expertise

computational photography

2024 – Present

bokeh

depth of field

2024 – Present

reflection removal

2024 – Present

depth estimation

2022 – Present

denoising diffusion

2022 – Present

surface normals

2022 – Present

intrinsic image decomposition

2022 – Present

neural rendering

2021 – Present

implicit neural representations

2021 – Present

generative models

2020 – Present

Publications

Reflection Removal through Efficient Adaptation of Diffusion Transformers
Daniyar Zakarin, Thiemo Wandel, Anton Obukhov, Dengxin Dai
- OpenReview Archive Direct Upload
- Readers: Everyone
Video Depth without Video Models
Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Readers: Everyone
Marigold-DC: Zero-shot monocular depth completion with guided diffusion
Massimiliano Viola, Kevin Qu, Nando Metzger, Bingxin Ke, Alexander Becker, Konrad Schindler, Anton Obukhov
- Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
- Readers: Everyone
Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis
Bingxin Ke, Kevin Qu, Tianfu Wang, Nando Metzger, Shengyu Huang, Bo Li, Anton Obukhov, Konrad Schindler
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Readers: Everyone
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler
- OpenReview Archive Direct Upload
- Readers: Everyone
BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation
Xiang Zhang, Bingxin Ke, Hayko Riemenschneider, Nando Metzger, Anton Obukhov, Markus Gross, Konrad Schindler, Christopher Schroers
- NeurIPS 2024 poster
- Readers: Everyone
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov
- SynData4CV
- Readers: Everyone
DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein
- 19 Mar 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Pix2NeRF: Unsupervised Conditional pi-GAN for Single Image to Neural Radiance Fields Translation
Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool
- 19 Mar 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
TT-NF: Tensor Train Neural Fields
Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone

View all 11 publications

Co-Authors

View all 34 co-authors