Anton Obukhov

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 28

Top Topics

Depth Estimation

Diffusion Models

Singular Values

Top Venues

Publications

Xiang Zhang, Bingxin Ke, Hayko Riemenschneider, Nando Metzger, Anton Obukhov, Markus Gross, Konrad Schindler, Christopher Schroers
BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation. CoRR (2024)
Tianfu Wang, Anton Obukhov, Konrad Schindler
Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models. CoRR (2024)
Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler
Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds. CoRR (2024)
Ata Çelen, Guo Han, Konrad Schindler, Luc Van Gool, Iro Armeni, Anton Obukhov, Xi Wang
I-Design: Personalized LLM Interior Designer. CoRR (2024)
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models. ICCV (2023)
Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov
Breathing New Life into 3D Assets with Generative Repainting. CoRR (2023)
Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. CoRR (2023)
Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler
Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds. CoRR (2023)
Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation. CoRR (2023)
Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov
Breathing New Life into 3D Assets with Generative Repainting. BMVC (2023)
Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. ICCV (2023)
Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control. CoRR (2023)
Alexandra Senderovich, Ekaterina Bulatova, Anton Obukhov, Maxim V. Rakhuba
Towards Practical Control of Singular Values of Convolutional Layers. NeurIPS (2022)
Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool
TT-NF: Tensor Train Neural Fields. CoRR (2022)
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein
DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models. CoRR (2022)
Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool
Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation. CoRR (2022)
Alexandra Senderovich, Ekaterina Bulatova, Anton Obukhov, Maxim Rakhuba
Towards Practical Control of Singular Values of Convolutional Layers. CoRR (2022)
Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool
Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation. CVPR (2022)
David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool
Exploring Relational Context for Multi-Task Dense Prediction. ICCV (2021)
Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation. CoRR (2021)
Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool
Spectral Tensor Train Parameterization of Deep Learning Layers. AISTATS (2021)
Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool
Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation. CVPR (2021)
David Bruggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool
Exploring Relational Context for Multi-Task Dense Prediction. CoRR (2021)
Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool
Spectral Tensor Train Parameterization of Deep Learning Layers. CoRR (2021)
Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference. CoRR (2020)
Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool
T-Basis: a Compact Representation for Neural Networks. CoRR (2020)
Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool
T-Basis: a Compact Representation for Neural Networks. ICML (2020)
Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool
Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference. ECCV (20) (2020)