Adversarial generation of continuous images I Skorokhodov, S Ignatyev, M Elhoseiny Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 156 | 2021 |
CAD-Deform: Deformable Fitting of CAD Models to 3D Scans V Ishimtsev, A Bokhovkin, A Artemov, S Ignatyev, M Niessner, D Zorin, ... arXiv preprint arXiv:2007.11965, 2020 | 25 | 2020 |
Relightable 3d head portraits from a smartphone video A Sevastopolsky, S Ignatiev, G Ferrer, E Burnaev, V Lempitsky arXiv preprint arXiv:2012.09963, 2020 | 12 | 2020 |
Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds V Egiazarian, S Ignatyev, A Artemov, O Voynov, A Kravchenko, Y Zheng, ... arXiv preprint arXiv:1912.06466, 2019 | 5 | 2019 |
Factored-neus: Reconstructing surfaces, illumination, and materials of possibly glossy objects Y Fan, I Skorokhodov, O Voynov, S Ignatyev, E Burnaev, P Wonka, ... arXiv preprint arXiv:2305.17929, 2023 | 4 | 2023 |
Sphere-guided training of neural implicit surfaces A Dogaru, AT Ardelean, S Ignatyev, E Zakharov, E Burnaev Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion S Ignatyev, D Selikhanovych, O Voynov, Y Wang, P Wonka, ... arXiv preprint arXiv:2312.04654, 2023 | | 2023 |
How good MVSNets are at depth fusion O Voynov, A Safin, S Ignatiev, E Burnaev Thirteenth International Conference on Machine Vision 11605, 119-125, 2021 | | 2021 |
universome/inr-gan: Adversarial Generation of Continuous Images I Skorokhodov, S Ignatyev, M Elhoseiny Github, 2020 | | 2020 |