Anton Obukhov

44 papers A* 11A 2Journal 25Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis.
CoRR
Bingxin Ke, Kevin Qu, Tianfu Wang, Nando Metzger, Shengyu Huang, Bo Li, Anton Obukhov, Konrad Schindler
2025 J jnl
Reflection Removal through Efficient Adaptation of Diffusion Transformers.
CoRR
Daniyar Zakarin, Thiemo Wandel, Anton Obukhov, Dengxin Dai
2025 J jnl
StereoSpace: Depth-Free Synthesis of Stereo Geometry via End-to-End Diffusion in a Canonical Space.
CoRR
Tjark Behrens, Anton Obukhov, Bingxin Ke, Fabio Tosi, Matteo Poggi, Konrad Schindler
2025 — conf
The Fourth Monocular Depth Estimation Challenge.
CVPR Workshops
Anton Obukhov, Matteo Poggi, Fabio Tosi, Ripudaman Singh Arora, Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden, Shuaihang Wang, Zhenxin Ma, Weijie Chen, Baobei Xu, Fengyu Sun, Di Xie, Jiang Zhu, Mykola Lavreniuk, Haining Guan, Qun Wu, Yupei Zeng, Chao Lu, Huanran Wang, GuangYuan Zhou, Haotian Zhang, Jianxiong Wang, Qiang Rao, Chunjie Wang, Xiao Liu, Zhiqiang Lou, Hualie Jiang, Yihao Chen, Rui Xu, Minglang Tan, Zihan Qin, Yifan Mao, Jiayang Liu, Jialei Xu, Yifan Yang, Wenbo Zhao, Junjun Jiang, Xianming Liu, Mingshuai Zhao, Anlong Ming, Wu Chen, Feng Xue, Mengying Yu, Shida Gao, Xiangfeng Wang, Gbenga Omotara, Ramy Farag, Jacket Demby's, Seyed Mohamad Ali Tousi, Guilherme N. DeSouza, Tuan-Anh Yang, Minh-Quang Nguyen, Thien-Phuc Tran, Albert Luginov, Muhammad Shahzad
2025 J jnl
The Fourth Monocular Depth Estimation Challenge.
CoRR
Anton Obukhov, Matteo Poggi, Fabio Tosi, Ripudaman Singh Arora, Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden, Shuaihang Wang, Zhenxin Ma, Weijie Chen, Baobei Xu, Fengyu Sun, Di Xie, Jiang Zhu, Mykola Lavreniuk, Haining Guan, Qun Wu, Yupei Zeng, Chao Lu, Huanran Wang, GuangYuan Zhou, Haotian Zhang, Jianxiong Wang, Qiang Rao, Chunjie Wang, Xiao Liu, Zhiqiang Lou, Hualie Jiang, Yihao Chen, Rui Xu, Minglang Tan, Zihan Qin, Yifan Mao, Jiayang Liu, Jialei Xu, Yifan Yang, Wenbo Zhao, Junjun Jiang, Xianming Liu, Mingshuai Zhao, Anlong Ming, Wu Chen, Feng Xue, Mengying Yu, Shida Gao, Xiangfeng Wang, Gbenga Omotara, Ramy Farag, Jacket Demby's, Seyed Mohamad Ali Tousi, Guilherme N. DeSouza, Tuan-Anh Yang, Minh-Quang Nguyen, Thien-Phuc Tran, Albert Luginov, Muhammad Shahzad
2025 A* conf
Video Depth without Video Models.
CVPR
Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler
2024 A* conf
BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation.
NeurIPS
Xiang Zhang, Bingxin Ke, Hayko Riemenschneider, Nando Metzger, Anton Obukhov, Markus Gross, Konrad Schindler, Christopher Schroers
2024 J jnl
BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation.
CoRR
Xiang Zhang, Bingxin Ke, Hayko Riemenschneider, Nando Metzger, Anton Obukhov, Markus Gross, Konrad Schindler, Christopher Schroers
2024 J jnl
Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models.
CoRR
Tianfu Wang, Anton Obukhov, Konrad Schindler
2024 — conf
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control.
ECCV (39)
Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov
2024 — conf
I-Design: Personalized LLM Interior Designer.
ECCV Workshops (2)
Ata Çelen, Guo Han, Konrad Schindler, Luc Van Gool, Iro Armeni, Anton Obukhov, Xi Wang
2024 J jnl
I-Design: Personalized LLM Interior Designer.
CoRR
Ata Çelen, Guo Han, Konrad Schindler, Luc Van Gool, Iro Armeni, Anton Obukhov, Xi Wang
2024 J jnl
Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion.
CoRR
Massimiliano Viola, Kevin Qu, Nando Metzger, Bingxin Ke, Alexander Becker, Konrad Schindler, Anton Obukhov
2024 — conf
NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces.
CVPR Workshops
Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Yangyang Zhang, Cailin Wu, Zhuangda He, Shuangshuang Yin, Jiaxu Dong, Yangchenxu Liu, Hao Jiang, Jun Shi, Yong A, Yixiang Jin, Dingzhe Li, Bingxin Ke, Anton Obukhov, Tinafu Wang, Nando Metzger, Shengyu Huang, Konrad Schindler, Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, Zihao Huang, Tianqi Liu, Zhiguo Cao, Pengzhi Li, Jui-Lin Wang, Wenjie Zhu, Hui Geng, Yuxin Zhang, Long Lan, Kele Xu, Tao Sun, Qisheng Xu, Sourav Saini, Aashray Gupta, Sahaj K. Mistry, Aryan Shukla, Vinit Jakhetiya, Sunil Prasad Jaiswal, Yuejin Sun, Zhuofan Zheng, Yi Ning, Jen-Hao Cheng, Hou-I Liu, Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang, Yi-Hao Peng, Aishi Huang, Jenq-Neng Hwang
2024 J jnl
Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds.
CoRR
Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler
2024 A* conf
Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds.
CVPR
Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler
2024 A* conf
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation.
CVPR
Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler
2024 J jnl
TT-NF: Tensor Train Neural Fields.
IEEE J. Sel. Top. Signal Process.
Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool
2024 J jnl
Video Depth without Video Models.
CoRR
Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler
2023 A conf
Breathing New Life into 3D Assets with Generative Repainting.
BMVC
Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov
2023 J jnl
Breathing New Life into 3D Assets with Generative Repainting.
CoRR
Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov
2023 J jnl
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control.
CoRR
Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov
2023 A* conf
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models.
ICCV
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein
2023 A* conf
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation.
ICCV
Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool
2023 J jnl
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation.
CoRR
Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool
2023 J jnl
Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds.
CoRR
Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler
2023 J jnl
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation.
CoRR
Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler
2022 J jnl
DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models.
CoRR
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein
2022 A* conf
Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation.
CVPR
Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool
2022 J jnl
Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation.
CoRR
Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool
2022 J jnl
TT-NF: Tensor Train Neural Fields.
CoRR
Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool
2022 — —
Tensor Decompositions in Deep Learning.
Anton Obukhov
2022 A* conf
Towards Practical Control of Singular Values of Convolutional Layers.
NeurIPS
Alexandra Senderovich, Ekaterina Bulatova, Anton Obukhov, Maxim V. Rakhuba
2022 J jnl
Towards Practical Control of Singular Values of Convolutional Layers.
CoRR
Alexandra Senderovich, Ekaterina Bulatova, Anton Obukhov, Maxim V. Rakhuba
2021 A* conf
Exploring Relational Context for Multi-Task Dense Prediction.
ICCV
David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool
2021 J jnl
Exploring Relational Context for Multi-Task Dense Prediction.
CoRR
David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool
2021 A* conf
Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation.
CVPR
Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool
2021 J jnl
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation.
CoRR
Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool
2021 A conf
Spectral Tensor Train Parameterization of Deep Learning Layers.
AISTATS
Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool
2021 J jnl
Spectral Tensor Train Parameterization of Deep Learning Layers.
CoRR
Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool
2020 — conf
Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference.
ECCV (20)
Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool
2020 J jnl
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference.
CoRR
Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool
2020 A* conf
T-Basis: a Compact Representation for Neural Networks.
ICML
Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool
2020 J jnl
T-Basis: a Compact Representation for Neural Networks.
CoRR
Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool