Obukhov, Anton

18 publications

ICCV 2025 Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Massimiliano Viola, Kevin Qu, Nando Metzger, Bingxin Ke, Alexander Becker, Konrad Schindler, Anton Obukhov

CVPRW 2025 The Fourth Monocular Depth Estimation Challenge 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

CVPR 2025 Video Depth Without Video Models Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler

NeurIPS 2024 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

ECCV 2024 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

ECCVW 2024 I-Design: Personalized LLM Interior Designer Ata Çelen, Guo Han, Konrad Schindler, Luc Van Gool, Iro Armeni, Anton Obukhov, Xi Wang

CVPRW 2024 NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces 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

CVPR 2024 Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler

CVPR 2024 Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler

ICCV 2023 DiffDreamer: Towards Consistent Unsupervised Single-View Scene Extrapolation with Conditional Diffusion Models Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein

ICCV 2023 EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool

CVPR 2022 Pix2NeRF: Unsupervised Conditional P-GAN for Single Image to Neural Radiance Fields Translation Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool

NeurIPS 2022 Towards Practical Control of Singular Values of Convolutional Layers Alexandra Senderovich, Ekaterina Bulatova, Anton Obukhov, Maxim Rakhuba

AISTATS 2021 Spectral Tensor Train Parameterization of Deep Learning Layers Anton Obukhov, Maxim Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool

ICCV 2021 Exploring Relational Context for Multi-Task Dense Prediction David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool

CVPR 2021 Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool

ECCV 2020 Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool

ICML 2020 T-Basis: A Compact Representation for Neural Networks Anton Obukhov, Maxim Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool