Researcher Portfolio

Rheinberger, Hans-Jörg

Department Experimental Systems and Spaces of Knowledge, Max Planck Institute for the History of Science, Max Planck Society, External, Max Planck Institute for the History of Science, Max Planck Society, Rheinberger Emeritus Group, Max Planck Institute for the History of Science, Max Planck Society

Researcher Profile

Position: Rheinberger Emeritus Group, Max Planck Institute for the History of Science, Max Planck Society

Position: Department Experimental Systems and Spaces of Knowledge, Max Planck Institute for the History of Science, Max Planck Society

Position: External, Max Planck Institute for the History of Science, Max Planck Society

Researcher ID: https://pure.mpg.de/cone/persons/resource/persons194297

External references

WorldCat Search for Rheinberger, Hans-Jörg

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Publications

(1 - 25 of 84)

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: Tretschk, E., Golyanik, V., Zollhöfer, M., Božič, A., Lassner, C., & Theobalt, C. (2024). SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes. In 3DV 2024 (pp. 1424-1435). Los Alamitos, CA: IEEE Computer Society. doi:10.1109/3DV62453.2024.00136. [PubMan] : Lyu, L., Tewari, A., Habermann, M., Saito, S., Zollhöfer, M., Leimkühler, T., & Theobalt, C. (2024). Manifold Sampling for Differentiable Uncertainty in Radiance Fields. In T. Igarashi, A. Shamir, & H. R. Zhang (Eds.), Proceedings SIGGRAPH Asia 2024 Conference Papers (pp. 1-11). New York, NY: ACM. doi:10.1145/3680528.3687655. [PubMan] : Habermann, M., Xu, W., Zollhöfer, M., Pons-Moll, G., & Theobalt, C. (2023). A Deeper Look into DeepCap. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4), 4009-4002. doi:10.1109/TPAMI.2021.3093553. [PubMan] : Habermann, M., Liu, L., Xu, W., Pons-Moll, G., Zollhöfer, M., & Theobalt, C. (2023). HDHumans: A Hybrid Approach for High-fidelity Digital Humans. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 6(3): 36, pp. 1-23. doi:10.1145/3606927. [PubMan] : Tewari, A., Thies, J., Mildenhall, B., Srinivasan, P., Tretschk, E., Wang, Y., Lassner, C., Sitzmann, V., Martin-Brualla, R., Lombardi, S., Simon, T., Theobalt, C., Nießner, M., Barron, J. T., Wetzstein, G., Zollhöfer, M., & Golyanik, V. (2022). Advances in Neural Rendering. Computer Graphics Forum, 41(2), 703-735. doi:10.1111/cgf.14507. [PubMan] : Meka, A., Shafiei, M., Zollhöfer, M., Richardt, C., & Theobalt, C. (2021). Real-time Global Illumination Decomposition of Videos. ACM Transactions on Graphics, 40(3): 22, pp. 1-16. doi:10.1145/3374753. [PubMan] : Habermann, M., Liu, L., Xu, W., Zollhöfer, M., Pons-Moll, G., & Theobalt, C. (2021). Real-time Deep Dynamic Characters. ACM Transactions on Graphics, 40(4): 94, pp. 1-16. doi:10.1145/3450626.3459749. [PubMan] : Liu, L., Xu, W., Habermann, M., Zollhöfer, M., Bernard, F., Kim, H., Wang, W., & Theobalt, C. (2021). Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation. IEEE Transactions on Visualization and Computer Graphics, 27(10), 4009-4022. doi:10.1109/TVCG.2020.2996594. [PubMan] : Tretschk, E., Tewari, A., Zollhöfer, M., Golyanik, V., & Theobalt, C. (2020). DEMEA: Deep Mesh Autoencoders for Non-rigidly Deforming Objects. In A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Computer Vision -- ECCV 2020 (pp. 601-617). Berlin: Springer. doi:10.1007/978-3-030-58548-8_35. [PubMan] : Egger, B., Smith, W. A. P., Tewari, A., Wuhrer, S., Zollhöfer, M., Beeler, T., Bernard, F., Bolkart, T., Kortylewski, A., Romdhani, S., Theobalt, C., Blanz, V., & Vetter, T. (2020). 3D Morphable Face Models -Past, Present and Future. ACM Transactions on Graphics, 39(5): 157. doi:10.1145/3395208. [PubMan] : Tretschk, E., Tewari, A., Golyanik, V., Zollhöfer, M., Stoll, C., & Theobalt, C. (2020). PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations. Retrieved from https://arxiv.org/abs/2008.01639. [PubMan] : Tretschk, E., Tewari, A., Golyanik, V., Zollhöfer, M., Stoll, C., & Theobalt, C. (2020). PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations. In A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Computer Vision -- ECCV 2020 (pp. 293-309). Berlin: Springer. doi:10.1007/978-3-030-58517-4_18. [PubMan] : Tewari, A., Elgharib, M., Mallikarjun B R, Bernard, F., Seidel, H.-P., Pérez, P., Zollhöfer, M., & Theobalt, C. (2020). PIE: Portrait Image Embedding for Semantic Control. ACM Transactions on Graphics, 39(6): 223. doi:10.1145/3414685.3417803. [PubMan] : Habermann, M., Xu, W., Zollhöfer, M., Pons-Moll, G., & Theobalt, C. (2020). DeepCap: Monocular Human Performance Capture Using Weak Supervision. Retrieved from https://arxiv.org/abs/2003.08325. [PubMan] : Liu, L., Xu, W., Habermann, M., Zollhöfer, M., Bernard, F., Kim, H., Wang, W., & Theobalt, C. (2020). Learning Dynamic Textures for Neural Rendering of Human Actors. IEEE Transactions on Visualization and Computer Graphics, 27(10), 4009-4022. doi:10.1109/TVCG.2020.2996594. [PubMan] : Thies, J., Zollhöfer, M., Stamminger, M., Theobalt, C., & Nießner, M. (2020). Face2Face: Real-time Face Capture and Reenactment of RGB Videos. Retrieved from https://arxiv.org/abs/2007.14808. [PubMan] : Tewari, A., Elgharib, M., Bharaj, G., Bernard, F., Seidel, H.-P., Pérez, P., Zollhöfer, M., & Theobalt, C. (2020). StyleRig: Rigging StyleGAN for 3D Control over Portrait Images. Retrieved from https://arxiv.org/abs/2004.00121. [PubMan] : Thies, J., Zollhöfer, M., Theobalt, C., Stamminger, M., & Nießner, M. (2020). Image-guided Neural Object Rendering. In International Conference on Learning Representations. OpenReview.net. Retrieved from https://openreview.net/forum?id=Hyg9anEFPS. [PubMan] : Tewari, A., Fried, O., Thies, J., Sitzmann, V., Lombardi, S., Sunkavalli, K., Martin-Brualla, R., Simon, T., Saragih, J., Nießner, M., Pandey, R., Fanello, S., Wetzstein, G., Zhu, J.-Y., Theobalt, C., Agrawala, M., Shechtman, E., Goldman, D. B., & Zollhöfer, M. (2020). State of the Art on Neural Rendering. Retrieved from https://arxiv.org/abs/2004.03805. [PubMan] : Tewari, A., Elgharib, M., Bharaj, G., Bernard, F., Seidel, H.-P., Pérez, P., Zollhöfer, M., & Theobalt, C. (2020). StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 6141-6150). Piscataway, NJ: IEEE. doi:10.1109/CVPR42600.2020.00618. [PubMan] : Božič, A., Zollhöfer, M., Theobalt, C., & Nießner, M. (2020). DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 7000-7010). Piscataway, NJ: IEEE. doi:10.1109/CVPR42600.2020.00703. [PubMan] : Tewari, A., Zollhöfer, M., Bernard, F., Garrido, P., Kim, H., Pérez, P., & Theobalt, C. (2020). High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(2), 357-370. doi:10.1109/TPAMI.2018.2876842. [PubMan] : Tretschk, E., Tewari, A., Golyanik, V., Zollhöfer, M., Lassner, C., & Theobalt, C. (2020). Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video. Retrieved from https://arxiv.org/abs/2012.12247. [PubMan] : Tewari, A., Fried, O., Thies, J., Sitzmann, V., Lombardi, S., Sunkavalli, K., Martin-Brualla, R., Simon, T., Saragih, J., Nießner, M., Pandey, R., Fanello, S., Wetzstein, G., Zhu, J.-Y., Theobalt, C., Agrawala, M., Shechtman, E., Goldman, D. B., & Zollhöfer, M. (2020). State of the Art on Neural Rendering. Computer Graphics Forum, 39(2), 701-727. doi:10.1111/cgf.14022. [PubMan] : Tewari, A., Elgharib, M., Mallikarjun B R, Bernard, F., Seidel, H.-P., Pérez, P., Zollhöfer, M., & Theobalt, C. (2020). PIE: Portrait Image Embedding for Semantic Control. Retrieved from https://arxiv.org/abs/2009.09485. [PubMan]