| NeRF--: Neural radiance fields without known camera parameters Z Wang, S Wu, W Xie, M Chen, VA Prisacariu arXiv preprint arXiv:2102.07064, 2021 | 454 | 2021 |
| Unsupervised learning of probably symmetric deformable 3d objects from images in the wild S Wu, C Rupprecht, A Vedaldi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 318 | 2020 |
| Deep High Dynamic Range Imaging with Large Foreground Motions S Wu, J Xu, YW Tai, CK Tang The European Conference on Computer Vision (ECCV), 117-132, 2018 | 280 | 2018 |
| Image Generation from Sketch Constraint Using Contextual GAN Y Lu, S Wu, YW Tai, CK Tang The European Conference on Computer Vision (ECCV), 205-220, 2018 | 157 | 2018 |
| 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 | 50 | 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 | 42 | 2023 |
| Controllable 3d face synthesis with conditional generative occupancy fields K Sun, S Wu, Z Huang, N Zhang, Q Wang, HS Li Advances in Neural Information Processing Systems 35, 2022 | 33 | 2022 |
| De-rendering the world's revolutionary artefacts S Wu, A Makadia, J Wu, N Snavely, R Tucker, A Kanazawa Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 28 | 2021 |
| Self-Supervised Localisation between Range Sensors and Overhead Imagery TY Tang, D De Martini, S Wu, P Newman Robotics: Science and Systems (RSS) 2020, 2020 | 25 | 2020 |
| De-rendering 3d objects in the wild F Wimbauer, S Wu, C Rupprecht Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 22 | 2022 |
| Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization TY Tang, D De Martini, S Wu, P Newman The International Journal of Robotics Research 40 (12-14), 1488-1509, 2021 | 22 | 2021 |
| 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 | 14 | 2023 |
| Seeing a rose in five thousand ways Y Zhang, S Wu, N Snavely, J Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Cgof++: Controllable 3d face synthesis with conditional generative occupancy fields K Sun, S Wu, N Zhang, Z Huang, Q Wang, H Li IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 6 | 2023 |
| Learning the 3D Fauna of the Web Z Li, D Litvak, R Li, Y Zhang, T Jakab, C Rupprecht, S Wu, A Vedaldi, ... arXiv preprint arXiv:2401.02400, 2024 | 5 | 2024 |
| Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark Z Kuang, Y Zhang, HX Yu, S Agarwala, E Wu, J Wu Advances in Neural Information Processing Systems 36, 2023 | 3 | 2023 |
| Language-Informed Visual Concept Learning S Lee, Y Zhang, S Wu, J Wu The Twelfth International Conference on Learning Representations, 2024 | 1 | 2024 |
| IBD-SLAM: Learning Image-Based Depth Fusion for Generalizable SLAM M Yin, S Wu, K Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Hearing Anything Anywhere ML Wang, R Sawata, S Clarke, R Gao, S Wu, J Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Learning Generative 3D Scene Layouts from a Single Image L Zhao, Z Yuan, Y Zhang, S Wu, J Wu CVPR Workshop on AI for 3D Generation, 2024 | | 2024 |
Christian RupprechtUniversity of Oxford在 robots.ox.ac.uk 的电子邮件经过验证
