Michael Vasilkovsky

According to our database, Michael Vasilkovsky authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

4Real-Video-V2: Fused View-Time Attention and Feedforward Reconstruction for 4D Scene Generation.

Chaoyang Wang, Ashkan Mirzaei, Vidit Goel, Willi Menapace, Aliaksandr Siarohin, Avalon Vinella, Michael Vasilkovsky, Ivan Skorokhodov, Vladislav Shakhrai, Sergey Korolev, Sergey Tulyakov, Peter Wonka

CoRR, June, 2025

Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars.

Eric M. Chen, Di Liu, Sizhuo Ma, Michael Vasilkovsky, Bing Zhou, Qiang Gao, Wenzhou Wang, Jiahao Luo, Dimitris N. Metaxas, Vincent Sitzmann, Jian Wang

CoRR, March, 2025

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, Sergei Korolev, Sergey Tulyakov, Hsin-Ying Lee

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

4Real-Video: Learning Generalizable Photo-Realistic 4D Video Diffusion.

Chaoyang Wang, Peiye Zhuang, Tuan Duc Ngo, Willi Menapace, Aliaksandr Siarohin, Michael Vasilkovsky, Ivan Skorokhodov, Sergey Tulyakov, Peter Wonka, Hsin-Ying Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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