| Unsupervised Learning of Object Landmarks through Conditional Image Generation T Jakab, A Gupta, H Bilen, A Vedaldi Advances in Neural Information Processing Systems 31, 2018 | 280 | 2018 |
| Self-supervised learning of interpretable keypoints from unlabelled videos T Jakab, A Gupta, H Bilen, A Vedaldi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 99* | 2020 |
| Keypointdeformer: Unsupervised 3d keypoint discovery for shape control T Jakab, R Tucker, A Makadia, J Wu, N Snavely, A Kanazawa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 52 | 2021 |
| Dove: Learning deformable 3d objects by watching videos S Wu, T Jakab, C Rupprecht, A Vedaldi International Journal of Computer Vision 131 (10), 2623-2634, 2023 | 51 | 2023 |
| Magicpony: Learning articulated 3d animals in the wild S Wu, R Li, T Jakab, C Rupprecht, A Vedaldi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 46 | 2023 |
| Farm3d: Learning articulated 3d animals by distilling 2d diffusion T Jakab, R Li, S Wu, C Rupprecht, A Vedaldi arXiv preprint arXiv:2304.10535, 2023 | 13 | 2023 |
| Learning the 3D Fauna of the Web Z Li, D Litvak, R Li, Y Zhang, T Jakab, C Rupprecht, S Wu, A Vedaldi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
| Scene-Conditional 3D Object Stylization and Composition J Zhou, T Jakab, P Torr, C Rupprecht arXiv preprint arXiv:2312.12419, 2023 | | 2023 |
| Calibrated Uncertainties for Neural Radiance Fields N Amini-Naieni, T Jakab, A Vedaldi, R Clark arXiv preprint arXiv:2312.02350, 2023 | | 2023 |
| Self-supervised learning of structural representations of visual objects T Jakab University of Oxford, 2021 | | 2021 |
