| CoNeRF: Controllable Neural Radiance Fields K Kania, KM Yi, M Kowalski, T Trzciński, A Tagliasacchi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 100 | 2022 |
| UCSG-NET-Unsupervised Discovering of Constructive Solid Geometry Tree K Kania, M Zieba, T Kajdanowicz Advances in Neural Information Processing Systems 34, 2020 | 85 | 2020 |
| TrajeVAE: Controllable Human Motion Generation from Trajectories K Kania, M Kowalski, T Trzciński arXiv preprint arXiv:2104.00351, 2021 | 16 | 2021 |
| American sign language fingerspelling recognition using wide residual networks K Kania, U Markowska-Kaczmar Artificial Intelligence and Soft Computing: 17th International Conference …, 2018 | 13 | 2018 |
| Blendfields: Few-shot example-driven facial modeling K Kania, SJ Garbin, A Tagliasacchi, V Estellers, KM Yi, J Valentin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Representing point clouds with generative conditional invertible flow networks M Stypułkowski, K Kania, M Zamorski, M Zięba, T Trzciński, J Chorowski Pattern Recognition Letters 150, 26-32, 2021 | 5 | 2021 |
| Modeling 3d surface manifolds with a locally conditioned atlas P Spurek, S Winczowski, M Zięba, T Trzciński, K Kania arXiv preprint arXiv:2102.05984, 2021 | 4 | 2021 |
| Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation S Xia, J Yue, K Kania, L Fang, A Tagliasacchi, KM Yi, W Sun arXiv preprint arXiv:2312.06799, 2023 | 2 | 2023 |
| Dynamic 3d scene generation MA Kowalski, SJ Garbin, VE Casas, JPC Valentin, K Kania US Patent App. 18/164,538, 2024 | | 2024 |
| LumiGauss: High-Fidelity Outdoor Relighting with 2D Gaussian Splatting J Kaleta, K Kania, T Trzcinski, M Kowalski arXiv preprint arXiv:2408.04474, 2024 | | 2024 |
| Modeling 3D surfaces with a locally conditioned atlas P Spurek, S Winczowski, M Ziȩba, T Trzciński, K Kania, M Mazur International Conference on Computational Science, 100-115, 2024 | | 2024 |
| GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions S Esposito, Q Xu, K Kania, C Hewitt, O Mariotti, L Petikam, J Valentin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Tomasz TrzcinskiWarsaw University of Technology, Tooploox, IDEAS NCBRZweryfikowany adres z pw.edu.pl
