Researcher Portfolio

Pons-Moll, Gerard

Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society

Researcher Profile

Position: Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society

Position: Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society

Position: Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society

Additional IDs: ORCID: https://orcid.org/0000-0001-5115-7794

Researcher ID: https://pure.mpg.de/cone/persons/resource/persons118756

External references

WorldCat Search for Pons-Moll, Gerard

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Publications

(1 - 25 of 106)

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: Zhang, X., Bhatnagar, B. L., Starke, S., Petrov, I. A., Guzov, V., Dhamo, H., Pérez Pellitero, E., & Pons-Moll, G. (in press). FORCE: Dataset and Method for Intuitive Physics Guided Human-object Interaction. In 3DV 2025. Piscataway, NJ: IEEE. [PubMan] : Li, C., Chibane, J., He, Y., Pearl, N., Geiger, A., & Pons-Moll, G. (in press). Unimotion: Unifying 3D Human Motion Synthesis and Understanding. In 3DV 2025. Piscataway, NJ: IEEE. [PubMan] : Xie, X., Lenssen, J. E., & Pons-Moll, G. (in press). InterTrack: Tracking Human Object Interaction without Object Templates. In 3DV 2025. Piscataway, NJ: IEEE. [PubMan] : Guzov, V., Jiang, Y., Hong, F., Pons-Moll, G., Newcombe, R., Liu, C. K., Ye, Y., & Ma, L. (in press). HMD2: Environment-aware Motion Generation from Single Egocentric Head-Mounted Device. In 3DV 2025. Piscataway, NJ: IEEE. [PubMan] : Yunus, R., Lenssen, J. E., Niemeyer, M., Liao, Y., Rupprecht, C., Theobalt, C., Pons-Moll, G., Huang, J.-B., Golyanik, V., & Ilg, E. (2024). Recent Trends in 3D Reconstruction of General Non-Rigid Scenes. Computer Graphics Forum, 43(2): e15062, pp. 1-42. doi:10.1111/cgf.15062. [PubMan] : Marin, R., Corona, E., & Pons-Moll, G. (2024). NICP: Neural ICP for 3D Human Registration at Scale. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision -- ECCV 2024 (pp. 265-285). Berlin: Springer. doi:10.1007/978-3-031-73636-0_16. [PubMan] : Kister, N., Sárándi, I., Khoreva, A., & Pons-Moll, G. (2024). Are Pose Estimators Ready for the Open World? STAGE: Synthetic Data Generation Toolkit for Auditing 3D Human Pose Estimators. Retrieved from https://arxiv.org/abs/2408.16536. [PubMan] : Guzov, V., Petrov, I. A., & Pons-Moll, G. (2024). blendify – Python rendering framework for Blender. Retrieved from https://arxiv.org/abs/2410.17858. [PubMan] : Sárándi, I., & Pons-Moll, G. (2024). Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), Advances in Neural Information Processing Systems 37 (pp. 140032-140065). Curran Associates, Inc. [PubMan] : Xie, X., Bhatnagar, B. L., Lenssen, J. E., & Pons-Moll, G. (2024). Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 10003-10015). Piscataway, NJ: IEEE. doi:10.1109/CVPR52733.2024.00954. [PubMan] : He, Y., Tiwari, G., Birdal, T., Lenssen, J. E., & Pons-Moll, G. (2024). NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 1661-1671). Piscataway, NJ: IEEE. doi:10.1109/CVPR52733.2024.00164. [PubMan] : Zhou, K., Bhatnagar, B. L., Lenssen, J. E., & Pons-Moll, G. (2024). GEARS: Local Geometry-aware Hand-object Interaction Synthesis. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 20634-20643). Piscataway, NJ: IEEE. doi:10.1109/CVPR52733.2024.01950. [PubMan] : Mir, A., Puig, X., Kanazawa, A., & Pons-Moll, G. (2024). Generating Continual Human Motion in Diverse 3D Scenes. In 3DV 2024 (pp. 903-913). Piscataway, NJ: IEEE. doi:10.1109/3DV62453.2024.00061. [PubMan] : Xue, Y., Xie, X., Marin, R., & Pons-Moll, G. (2024). Human 3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), Advances in Neural Information Processing Systems 37 (pp. 99601-99645). Curran Associates, Inc. [PubMan] : Youwang, K., Oh, T.-H., & Pons-Moll, G. (2024). Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 4347-4356). Piscataway, NJ: IEEE. doi:10.1109/CVPR52733.2024.00416. [PubMan] : Antić, D., Tiwari, G., Ozcomlekci, B., Marin, R., & Pons-Moll, G. (2024). CloSe: A 3D Clothing Segmentation Dataset and Model. In 3DV 2024 (pp. 591-601). Piscataway, NJ: IEEE. doi:10.1109/3DV62453.2024.00020. [PubMan] : Guzov, V., Chibane, J., Marin, R., He, Y., Saracoglu, Y., Sattler, T., & Pons-Moll, G. (2024). Interaction Replica: Tracking Human–Object Interaction and Scene Changes From Human Motion. In 3DV 2024 (pp. 1006-1016). Piscataway, NJ: IEEE. doi:10.1109/3DV62453.2024.00072. [PubMan] : Kabadayi, B., Zielonka, W., Bhatnagar, B. L., Pons-Moll, G., & Thies, J. (2024). GAN-Avatar: Controllable Personalized GAN-based Human Head Avatar. In 3DV 2024 (pp. 882-892). Piscataway, NJ: IEEE. doi:10.1109/3DV62453.2024.00058. [PubMan] : Zhang, X., Starke, S., Guzov, V., Zhang, Z., Pellitero, E. P., & Pons-Moll, G. (2024). SCENIC: Scene-aware Semantic Navigation with Instruction-guided Control. Retrieved from https://arxiv.org/abs/2412.15664. [PubMan] : Tome, D., Alldieck, T., Peluse, P., Pons-Moll, G., Agapito, L., Badino, H., & de la Torre, F. (2023). SelfPose: 3D Egocentric Pose Estimation From a Headset Mounted Camera. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6), 6794-6806. doi:10.1109/TPAMI.2020.3029700. [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] : Petrov, I. A., Marin, R., Chibane, J., & Pons-Moll, G. (2023). Object Pop-Up: Can We Infer 3D Objects and their Poses from Human Interactions Alone? In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 4726-4736). Piscataway, NJ: IEEE. doi:10.1109/CVPR52729.2023.00458. [PubMan] : Lazova, V., Guzov, V., Olszewski, K., Tulyakov, S., & Pons-Moll, G. (2023). Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation. In 2023 IEEE Winter Conference on Applications of Computer Vision (pp. 4329-4339). Piscataway, NJ: IEEE. doi:10.1109/WACV56688.2023.00432. [PubMan] : Corona, E., Alenyà, G., Pons-Moll, G., & Moreno-Noguer, F. (2023). LayerNet: High-Resolution Semantic 3D Reconstruction of Clothed People. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(2), 1257-1272. doi:10.1109/TPAMI.2023.3332677. [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]