Anton Obukhov

According to our database1, Anton Obukhov authored at least 19 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
I-Design: Personalized LLM Interior Designer.
CoRR, 2024

Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds.
CoRR, 2024

2023
Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds.
CoRR, 2023

DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control.
CoRR, 2023

Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation.
CoRR, 2023

DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Breathing New Life into 3D Assets with Generative Repainting.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Tensor Decompositions in Deep Learning.
PhD thesis, 2022

DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models.
CoRR, 2022

TT-NF: Tensor Train Neural Fields.
CoRR, 2022

Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation.
CoRR, 2022

Towards Practical Control of Singular Values of Convolutional Layers.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Exploring Relational Context for Multi-Task Dense Prediction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spectral Tensor Train Parameterization of Deep Learning Layers.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
T-Basis: a Compact Representation for Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference.
Proceedings of the Computer Vision - ECCV 2020, 2020


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