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Shangzhe Wu
Shangzhe Wu
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
NeRF--: Neural radiance fields without known camera parameters
Z Wang, S Wu, W Xie, M Chen, VA Prisacariu
arXiv preprint arXiv:2102.07064, 2021
4142021
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
3062020
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
2672018
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
1502018
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
442023
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
352023
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
282022
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
262021
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
252020
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
202022
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
202021
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
102023
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
62023
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
52023
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
42024
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
12023
Language-Informed Visual Concept Learning
S Lee, Y Zhang, S Wu, J Wu
The Twelfth International Conference on Learning Representations, 2024
2024
Ponymation: Learning 3D Animal Motions from Unlabeled Online Videos
K Sun, D Litvak, Y Zhang, H Li, J Wu, S Wu
arXiv preprint arXiv:2312.13604, 2023
2023
Unsupervised Learning of 3D Objects in the Wild
S Wu
University of Oxford, 2022
2022
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