Michael Vasilkovsky

According to our database, Michael Vasilkovsky authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control.

Sherwin Bahmani, Ivan Skorokhodov, Aliaksandr Siarohin, Willi Menapace, Guocheng Qian, Michael Vasilkovsky, Hsin-Ying Lee, Chaoyang Wang, Jiaxu Zou, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov

CoRR, 2024

GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinement.

Peiye Zhuang, Songfang Han, Chaoyang Wang, Aliaksandr Siarohin, Jiaxu Zou, Michael Vasilkovsky, Vladislav Shakhrai, Sergey Korolev, Sergey Tulyakov, Hsin-Ying Lee

CoRR, 2024

SPAD : Spatially Aware Multiview Diffusers.

Yash Kant, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski, Aliaksandr Siarohin

CoRR, 2024

AToM: Amortized Text-to-Mesh using 2D Diffusion.

Guocheng Qian, Junli Cao, Aliaksandr Siarohin, Yash Kant, Chaoyang Wang, Michael Vasilkovsky, Hsin-Ying Lee, Yuwei Fang, Ivan Skorokhodov, Peiye Zhuang, Igor Gilitschenski, Jian Ren, Bernard Ghanem, Kfir Aberman, Sergey Tulyakov

CoRR, 2024

SPAD: Spatially Aware Multi-View Diffusers.

Yash Kant, Aliaksandr Siarohin, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski

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

2023

iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis.

Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Güler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski

CoRR, 2023

Repurposing Diffusion Inpainters for Novel View Synthesis.

Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Güler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

2022

DetIE: Multilingual Open Information Extraction Inspired by Object Detection.

Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022