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Shangzhe Wu
Shangzhe Wu
PhD Student, Oxford
Bestätigte E-Mail-Adresse bei robots.ox.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1482020
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
1462018
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
86*2018
NeRF--: Neural radiance fields without known camera parameters
Z Wang, S Wu, W Xie, M Chen, VA Prisacariu
arXiv preprint arXiv:2102.07064, 2021
682021
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
122020
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
82021
Dove: Learning deformable 3d objects by watching videos
S Wu, T Jakab, C Rupprecht, A Vedaldi
arXiv preprint arXiv:2107.10844, 2021
42021
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
22021
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields
K Sun, S Wu, Z Huang, N Zhang, Q Wang, HS Li
arXiv preprint arXiv:2206.08361, 2022
2022
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
2022
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