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Shangzhe Wu
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2020 – today
- 2024
- [j4]Keqiang Sun
, Shangzhe Wu
, Ning Zhang
, Zhaoyang Huang
, Quan Wang
, Hongsheng Li
:
CGOF++: Controllable 3D Face Synthesis With Conditional Generative Occupancy Fields. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 913-926 (2024) - [c15]Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. 3DV 2024: 852-861 - [c14]Sharon Lee, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu:
Language-Informed Visual Concept Learning. ICLR 2024 - [i20]Zizhang Li, Dor Litvak, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu, Andrea Vedaldi, Jiajun Wu:
Learning the 3D Fauna of the Web. CoRR abs/2401.02400 (2024) - [i19]Mason Wang, Ryosuke Sawata, Samuel Clarke, Ruohan Gao, Shangzhe Wu, Jiajun Wu:
Hearing Anything Anywhere. CoRR abs/2406.07532 (2024) - 2023
- [j3]Shangzhe Wu
, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
DOVE: Learning Deformable 3D Objects by Watching Videos. Int. J. Comput. Vis. 131(10): 2623-2634 (2023) - [j2]Shangzhe Wu
, Christian Rupprecht
, Andrea Vedaldi
:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild (Invited Paper). IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5268-5281 (2023) - [c13]Yunzhi Zhang, Shangzhe Wu, Noah Snavely, Jiajun Wu:
Seeing a Rose in Five Thousand Ways. CVPR 2023: 962-971 - [c12]Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
MagicPony: Learning Articulated 3D Animals in the Wild. CVPR 2023: 8792-8802 - [c11]Xinkai Wang
, Liang Yuan
, Lihui Sun
, Shangzhe Wu
, Ajian Liu
:
Three-Dimensional Object Segmentation Method based on YOLO, SAM, and NeRF. ICCVIT 2023: 53:1-53:7 - [c10]Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu:
Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark. NeurIPS 2023 - [i18]Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. CoRR abs/2304.10535 (2023) - [i17]Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu:
Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark. CoRR abs/2310.16044 (2023) - [i16]Sharon Lee, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu:
Language-Informed Visual Concept Learning. CoRR abs/2312.03587 (2023) - [i15]Keqiang Sun, Dor Litvak, Yunzhi Zhang, Hongsheng Li, Jiajun Wu, Shangzhe Wu:
Ponymation: Learning 3D Animal Motions from Unlabeled Online Videos. CoRR abs/2312.13604 (2023) - 2022
- [c9]Felix Wimbauer, Shangzhe Wu, Christian Rupprecht:
De-rendering 3D Objects in the Wild. CVPR 2022: 18469-18478 - [c8]Keqiang Sun, Shangzhe Wu, Zhaoyang Huang, Ning Zhang, Quan Wang, Hongsheng Li:
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields. NeurIPS 2022 - [i14]Felix Wimbauer, Shangzhe Wu, Christian Rupprecht:
De-rendering 3D Objects in the Wild. CoRR abs/2201.02279 (2022) - [i13]Keqiang Sun, Shangzhe Wu, Zhaoyang Huang, Ning Zhang, Quan Wang, Hongsheng Li:
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields. CoRR abs/2206.08361 (2022) - [i12]Shengnan Liang, Yichen Liu, Shangzhe Wu, Yu-Wing Tai
, Chi-Keung Tang:
ONeRF: Unsupervised 3D Object Segmentation from Multiple Views. CoRR abs/2211.12038 (2022) - [i11]Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
MagicPony: Learning Articulated 3D Animals in the Wild. CoRR abs/2211.12497 (2022) - [i10]Keqiang Sun, Shangzhe Wu, Ning Zhang, Zhaoyang Huang, Quan Wang, Hongsheng Li:
CGOF++: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields. CoRR abs/2211.13251 (2022) - [i9]Yunzhi Zhang, Shangzhe Wu, Noah Snavely, Jiajun Wu:
Seeing a Rose in Five Thousand Ways. CoRR abs/2212.04965 (2022) - 2021
- [j1]Tim Y. Tang
, Daniele De Martini, Shangzhe Wu
, Paul Newman:
Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization. Int. J. Robotics Res. 40(12-14): 1488-1509 (2021) - [c7]Shangzhe Wu
, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa:
De-Rendering the World's Revolutionary Artefacts. CVPR 2021: 6338-6347 - [c6]Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract). IJCAI 2021: 4854-4858 - [i8]Zirui Wang
, Shangzhe Wu, Weidi Xie, Min Chen, Victor Adrian Prisacariu:
NeRF-: Neural Radiance Fields Without Known Camera Parameters. CoRR abs/2102.07064 (2021) - [i7]Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa:
De-rendering the World's Revolutionary Artefacts. CoRR abs/2104.03954 (2021) - [i6]Shangzhe Wu, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
DOVE: Learning Deformable 3D Objects by Watching Videos. CoRR abs/2107.10844 (2021) - 2020
- [c5]Shangzhe Wu
, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild. CVPR 2020: 1-10 - [c4]Tim Y. Tang, Daniele De Martini, Shangzhe Wu
, Paul Newman:
Self-Supervised Localisation between Range Sensors and Overhead Imagery. Robotics: Science and Systems 2020 - [i5]Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman:
Self-Supervised Localisation between Range Sensors and Overhead Imagery. CoRR abs/2006.02108 (2020)
2010 – 2019
- 2019
- [i4]Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images. CoRR abs/1906.01568 (2019) - [i3]Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild. CoRR abs/1911.11130 (2019) - 2018
- [c3]Shangzhe Wu
, Jiarui Xu
, Yu-Wing Tai
, Chi-Keung Tang
:
Deep High Dynamic Range Imaging with Large Foreground Motions. ECCV (2) 2018: 120-135 - [c2]Yongyi Lu
, Shangzhe Wu
, Yu-Wing Tai
, Chi-Keung Tang
:
Image Generation from Sketch Constraint Using Contextual GAN. ECCV (16) 2018: 213-228 - 2017
- [i2]Shangzhe Wu, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang:
End-to-End Deep HDR Imaging with Large Foreground Motions. CoRR abs/1711.08937 (2017) - [i1]Yongyi Lu, Shangzhe Wu, Yu-Wing Tai, Chi-Keung Tang:
Sketch-to-Image Generation Using Deep Contextual Completion. CoRR abs/1711.08972 (2017) - 2015
- [c1]Duy-Minh Dang, Qifan Xu, Shangzhe Wu:
Multilevel Dimension Reduction Monte-Carlo Simulation for High-dimensional Stochastic Models in Finance. ICCS 2015: 1583-1592
Coauthor Index
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last updated on 2024-08-08 19:18 CEST by the dblp team
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