Shangzhe Wu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Unsupervised Learning

Image Generation

High Dynamic Range

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

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 (2024)
Mason Wang, Ryosuke Sawata, Samuel Clarke, Ruohan Gao, Shangzhe Wu, Jiajun Wu
Hearing Anything Anywhere. CoRR (2024)
Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. 3DV (2024)
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) (2024)
Sharon Lee, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu
Language-Informed Visual Concept Learning. ICLR (2024)
Keqiang Sun, Dor Litvak, Yunzhi Zhang, Hongsheng Li, Jiajun Wu, Shangzhe Wu
Ponymation: Learning 3D Animal Motions from Unlabeled Online Videos. CoRR (2023)
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) (2023)
Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu
Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark. CoRR (2023)
Xinkai Wang, Liang Yuan, Lihui Sun, Shangzhe Wu, Ajian Liu
Three-Dimensional Object Segmentation Method based on YOLO, SAM, and NeRF. ICCVIT (2023)
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)
Yunzhi Zhang, Shangzhe Wu, Noah Snavely, Jiajun Wu
Seeing a Rose in Five Thousand Ways. CVPR (2023)
Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi
MagicPony: Learning Articulated 3D Animals in the Wild. CVPR (2023)
Shangzhe Wu, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi
DOVE: Learning Deformable 3D Objects by Watching Videos. Int. J. Comput. Vis. 131 (10) (2023)
Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. CoRR (2023)
Sharon Lee, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu
Language-Informed Visual Concept Learning. CoRR (2023)
Shengnan Liang, Yichen Liu, Shangzhe Wu, Yu-Wing Tai, Chi-Keung Tang
ONeRF: Unsupervised 3D Object Segmentation from Multiple Views. CoRR (2022)
Felix Wimbauer, Shangzhe Wu, Christian Rupprecht
De-rendering 3D Objects in the Wild. CVPR (2022)
Felix Wimbauer, Shangzhe Wu, Christian Rupprecht
De-rendering 3D Objects in the Wild. CoRR (2022)
Keqiang Sun, Shangzhe Wu, Zhaoyang Huang, Ning Zhang, Quan Wang, Hongsheng Li
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields. NeurIPS (2022)
Keqiang Sun, Shangzhe Wu, Ning Zhang, Zhaoyang Huang, Quan Wang, Hongsheng Li
CGOF++: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields. CoRR (2022)
Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi
MagicPony: Learning Articulated 3D Animals in the Wild. CoRR (2022)
Yunzhi Zhang, Shangzhe Wu, Noah Snavely, Jiajun Wu
Seeing a Rose in Five Thousand Ways. CoRR (2022)
Keqiang Sun, Shangzhe Wu, Zhaoyang Huang, Ning Zhang, Quan Wang, Hongsheng Li
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields. CoRR (2022)
Shangzhe Wu, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi
DOVE: Learning Deformable 3D Objects by Watching Videos. CoRR (2021)
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract). IJCAI (2021)
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) (2021)
Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa
De-rendering the World's Revolutionary Artefacts. CoRR (2021)
Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, Victor Adrian Prisacariu
NeRF-: Neural Radiance Fields Without Known Camera Parameters. CoRR (2021)
Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa
De-Rendering the World's Revolutionary Artefacts. CVPR (2021)
Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman
Self-Supervised Localisation between Range Sensors and Overhead Imagery. Robotics: Science and Systems (2020)
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild. CVPR (2020)
Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman
Self-Supervised Localisation between Range Sensors and Overhead Imagery. CoRR (2020)
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild. CoRR (2019)
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images. CoRR (2019)
Yongyi Lu, Shangzhe Wu, Yu-Wing Tai, Chi-Keung Tang
Image Generation from Sketch Constraint Using Contextual GAN. ECCV (16) (2018)
Shangzhe Wu, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang
Deep High Dynamic Range Imaging with Large Foreground Motions. ECCV (2) (2018)
Yongyi Lu, Shangzhe Wu, Yu-Wing Tai, Chi-Keung Tang
Sketch-to-Image Generation Using Deep Contextual Completion. CoRR (2017)
Shangzhe Wu, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang
End-to-End Deep HDR Imaging with Large Foreground Motions. CoRR (2017)
Duy-Minh Dang, Qifan Xu, Shangzhe Wu
Multilevel Dimension Reduction Monte-Carlo Simulation for High-dimensional Stochastic Models in Finance. ICCS (2015)