Tulyakov, Sergey

MoCoGAN: Decomposing Motion and Content for Video Generation

Tulyakov, S., Liu, M.-Y., Yang, X., & Kautz, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques

Cited by 1,076

First Order Motion Model for Image Animation

Siarohin, A., Lathuilière, S., Tulyakov, S., Ricci, E., & Sebe, N. (2020) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Vision and Imaging

Cited by 585

SMIL: Multimodal Learning with Severely Missing Modality

Ma, M., Ren, J., Zhao, L., Tulyakov, S., Wu, C., & Peng, X. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 332

StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Skorokhodov, I., Tulyakov, S., & Elhoseiny, M. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 199

A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Tian, Y., Ren, J., Chai, M., Olszewski, K., Peng, X., Metaxas, D. N., & Tulyakov, S. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 88