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 | 287 | 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 | 104* | 2020 |
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 | 58 | 2023 |
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 | 58 | 2021 |
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 | 53 | 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 | 18 | 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 | 9 | 2024 |
DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transfer R Li, J Han, L Melas-Kyriazi, C Sun, Z An, Z Gui, S Sun, P Torr, T Jakab arXiv preprint arXiv:2409.08271, 2024 | | 2024 |
DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with Diffusion Priors TH Zhu, R Li, T Jakab arXiv preprint arXiv:2409.08278, 2024 | | 2024 |
DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with Diffusion Priors T Hanwen Zhu, R Li, T Jakab arXiv e-prints, arXiv: 2409.08278, 2024 | | 2024 |
Instant uncertainty calibration of NERFs using a meta-calibrator N Amini-Naieni, T Jakab, A Vedaldi, R Clark IEEE, 2024 | | 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 |