Anton Obukhov

According to our database, Anton Obukhov authored at least 24 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion.

Massimiliano Viola, Kevin Qu, Nando Metzger, Bingxin Ke, Alexander Becker, Konrad Schindler, Anton Obukhov

CoRR, 2024

Video Depth without Video Models.

Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler

CoRR, 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

CoRR, 2024

Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models.

Tianfu Wang, Anton Obukhov, Konrad Schindler

CoRR, 2024

I-Design: Personalized LLM Interior Designer.

Ata Çelen, Guo Han, Konrad Schindler, Luc Van Gool, Iro Armeni, Anton Obukhov, Xi Wang

CoRR, 2024

Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds.

Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler

CoRR, 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

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds.

Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation.

Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation.

Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Breathing New Life into 3D Assets with Generative Repainting.

Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Tensor Decompositions in Deep Learning.

Anton Obukhov

PhD thesis, 2022

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

CoRR, 2022

TT-NF: Tensor Train Neural Fields.

Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool

CoRR, 2022

Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation.

Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool

CoRR, 2022

Towards Practical Control of Singular Values of Convolutional Layers.

Alexandra Senderovich, Ekaterina Bulatova, Anton Obukhov, Maxim V. Rakhuba

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation.

Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Exploring Relational Context for Multi-Task Dense Prediction.

David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spectral Tensor Train Parameterization of Deep Learning Layers.

Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

T-Basis: a Compact Representation for Neural Networks.

Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool

Proceedings of the 37th International Conference on Machine Learning, 2020

Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference.

Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2020, 2020