| i3dmm: Deep implicit 3d morphable model of human heads T Yenamandra, A Tewari, F Bernard, HP Seidel, M Elgharib, D Cremers, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 108 | 2021 |
| Convex optimisation for inverse kinematics T Yenamandra, F Bernard, J Wang, F Mueller, C Theobalt 2019 International Conference on 3D Vision (3DV), 318-327, 2019 | 12 | 2019 |
| FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions T Yenamandra, A Tewari, N Yang, F Bernard, C Theobalt, D Cremers arXiv preprint arXiv:2203.16284, 2022 | 6* | 2022 |
| Joint deep multi-graph matching and 3d geometry learning from inhomogeneous 2d image collections Z Ye, T Yenamandra, F Bernard, D Cremers Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3125-3133, 2022 | 6 | 2022 |
| SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering M Brahimi, B Haefner, T Yenamandra, B Goldluecke, D Cremers Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes G Eskandar, Y Farag, T Yenamandra, D Cremers, K Guirguis, B Yang 2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023 | 1 | 2023 |
| Implicit shape completion via adversarial shape priors A Saroha, M Eisenberger, T Yenamandra, D Cremers arXiv preprint arXiv:2204.10060, 2022 | 1 | 2022 |
| Gaussian Splatting in Style A Saroha, M Gladkova, C Curreli, T Yenamandra, D Cremers arXiv preprint arXiv:2403.08498, 2024 | | 2024 |
| Recent Advances in the Analysis of 3D Shapes TUMAIL Series, D Cremers, V Golkov, N Araslanov, H Li, S Wagner, ... | | |
| Supplementary Material of SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering M Brahimi, B Haefner, T Yenamandra, B Goldluecke, D Cremers | | |
| 3.11 Implicit 3DMMs for Full Heads Including Hair T Yenamandra 3D Morphable Models and Beyond, 106, 0 | | |
Daniel CremersTechnical University of MunichVerified email at tum.de
