| Mocogan: Decomposing motion and content for video generation S Tulyakov, MY Liu, X Yang, J Kautz Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1270 | 2018 |
| First order motion model for image animation A Siarohin, S Lathuilière, S Tulyakov, E Ricci, N Sebe Advances in neural information processing systems 32, 2019 | 943 | 2019 |
| Animating arbitrary objects via deep motion transfer A Siarohin, S Lathuilière, S Tulyakov, E Ricci, N Sebe Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 381 | 2019 |
| Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions S Tulyakov, X Alameda-Pineda, E Ricci, L Yin, JF Cohn, N Sebe Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 381 | 2016 |
| Efficientformer: Vision transformers at mobilenet speed Y Li, G Yuan, Y Wen, J Hu, G Evangelidis, S Tulyakov, Y Wang, J Ren Advances in Neural Information Processing Systems 35, 12934-12949, 2022 | 281 | 2022 |
| Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2 I Skorokhodov, S Tulyakov, M Elhoseiny Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 233 | 2022 |
| Motion representations for articulated animation A Siarohin, OJ Woodford, J Ren, M Chai, S Tulyakov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 232 | 2021 |
| Magic123: One image to high-quality 3d object generation using both 2d and 3d diffusion priors G Qian, J Mai, A Hamdi, J Ren, A Siarohin, B Li, HY Lee, I Skorokhodov, ... arXiv preprint arXiv:2306.17843, 2023 | 229 | 2023 |
| Smil: Multimodal learning with severely missing modality M Ma, J Ren, L Zhao, S Tulyakov, C Wu, X Peng Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2302-2310, 2021 | 222 | 2021 |
| Sdfusion: Multimodal 3d shape completion, reconstruction, and generation YC Cheng, HY Lee, S Tulyakov, AG Schwing, LY Gui Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 171 | 2023 |
| A good image generator is what you need for high-resolution video synthesis Y Tian, J Ren, M Chai, K Olszewski, X Peng, DN Metaxas, S Tulyakov International Conference on Learning Representations (ICLR), 2021 | 171 | 2021 |
| Rethinking vision transformers for mobilenet size and speed Y Li, J Hu, Y Wen, G Evangelidis, K Salahi, Y Wang, S Tulyakov, J Ren Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 127 | 2023 |
| Epigraf: Rethinking training of 3d gans I Skorokhodov, S Tulyakov, Y Wang, P Wonka Advances in Neural Information Processing Systems 35, 24487-24501, 2022 | 111 | 2022 |
| Text2tex: Text-driven texture synthesis via diffusion models DZ Chen, Y Siddiqui, HY Lee, S Tulyakov, M Nießner Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 107 | 2023 |
| 3d guided fine-grained face manipulation Z Geng, C Cao, S Tulyakov Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 104 | 2019 |
| Transformable bottleneck networks K Olszewski, S Tulyakov, O Woodford, H Li, L Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 94 | 2019 |
| InfinityGAN: Towards infinite-pixel image synthesis CH Lin, HY Lee, YC Cheng, S Tulyakov, MH Yang arXiv preprint arXiv:2104.03963, 2021 | 78 | 2021 |
| Snapfusion: Text-to-image diffusion model on mobile devices within two seconds Y Li, H Wang, Q Jin, J Hu, P Chemerys, Y Fu, Y Wang, S Tulyakov, J Ren Advances in Neural Information Processing Systems 36, 2024 | 77 | 2024 |
| Michigan: multi-input-conditioned hair image generation for portrait editing Z Tan, M Chai, D Chen, J Liao, Q Chu, L Yuan, S Tulyakov, N Yu ACM Transactions on Graphics (TOG), 2020 | 77 | 2020 |
| Inout: Diverse image outpainting via gan inversion YC Cheng, CH Lin, HY Lee, J Ren, S Tulyakov, MH Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 75 | 2022 |
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