Multilevel Dimension Reduction Monte-Carlo Simulation for High-dimensional Stochastic Models in Finance. - Duy-Minh Dang; Qifan Xu; Shangzhe Wu (ICCS, 2015)

End-to-End Deep HDR Imaging with Large Foreground Motions. - Shangzhe Wu; Jiarui Xu; Yu-Wing Tai; Chi-Keung Tang (CoRR, 2017)

Sketch-to-Image Generation Using Deep Contextual Completion. - Yongyi Lu; Shangzhe Wu; Yu-Wing Tai; Chi-Keung Tang (CoRR, 2017)

Image Generation from Sketch Constraint Using Contextual GAN. - Yongyi Lu; Shangzhe Wu; Yu-Wing Tai; Chi-Keung Tang (ECCV (16), 2018)

Deep High Dynamic Range Imaging with Large Foreground Motions. - Shangzhe Wu; Jiarui Xu; Yu-Wing Tai; Chi-Keung Tang (ECCV (2), 2018)

Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images. - Shangzhe Wu; Christian Rupprecht 001; Andrea Vedaldi (CoRR, 2019)

Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild. - Shangzhe Wu; Christian Rupprecht 001; Andrea Vedaldi (CVPR, 2020)

Self-Supervised Localisation between Range Sensors and Overhead Imagery. - Tim Y. Tang; Daniele De Martini; Shangzhe Wu; Paul Newman 001 (Robotics: Science and Systems, 2020)

De-Rendering the World's Revolutionary Artefacts. - Shangzhe Wu; Ameesh Makadia; Jiajun Wu 001; Noah Snavely; Richard Tucker 001; Angjoo Kanazawa (CVPR, 2021)

Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract). - Shangzhe Wu; Christian Rupprecht 001; Andrea Vedaldi (IJCAI, 2021)

NeRF-: Neural Radiance Fields Without Known Camera Parameters. - Zirui Wang; Shangzhe Wu; Weidi Xie; Min Chen; Victor Adrian Prisacariu (CoRR, 2021)

Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization. - Tim Y. Tang; Daniele De Martini; Shangzhe Wu; Paul Newman 001 (Int. J. Robotics Res., 2021)

De-rendering 3D Objects in the Wild. - Felix Wimbauer; Shangzhe Wu; Christian Rupprecht 001 (CVPR, 2022)

Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields. - Keqiang Sun; Shangzhe Wu; Zhaoyang Huang; Ning Zhang; Quan Wang; Hongsheng Li 001 (NeurIPS, 2022)

ONeRF: Unsupervised 3D Object Segmentation from Multiple Views. - Shengnan Liang; Yichen Liu 001; Shangzhe Wu; Yu-Wing Tai; Chi-Keung Tang (CoRR, 2022)

MagicPony: Learning Articulated 3D Animals in the Wild. - Shangzhe Wu; Ruining Li; Tomas Jakab; Christian Rupprecht 001; Andrea Vedaldi (CVPR, 2023)

Seeing a Rose in Five Thousand Ways. - Yunzhi Zhang; Shangzhe Wu; Noah Snavely; Jiajun Wu 001 (CVPR, 2023)

Three-Dimensional Object Segmentation Method based on YOLO, SAM, and NeRF. - Xinkai Wang 011; Liang Yuan; Lihui Sun; Shangzhe Wu; Ajian Liu 002 (ICCVIT, 2023)

Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark. - Zhengfei Kuang; Yunzhi Zhang; Hong-Xing Yu; Samir Agarwala; Shangzhe Wu; Jiajun Wu 001 (NeurIPS, 2023)

Ponymation: Learning 3D Animal Motions from Unlabeled Online Videos. - Keqiang Sun; Dor Litvak; Yunzhi Zhang; Hongsheng Li 001; Jiajun Wu 001; Shangzhe Wu (CoRR, 2023)

Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild (Invited Paper). - Shangzhe Wu; Christian Rupprecht 001; Andrea Vedaldi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DOVE: Learning Deformable 3D Objects by Watching Videos. - Shangzhe Wu; Tomas Jakab; Christian Rupprecht 001; Andrea Vedaldi (Int. J. Comput. Vis., 2023)

Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. - Tomas Jakab; Ruining Li; Shangzhe Wu; Christian Rupprecht 001; Andrea Vedaldi (3DV, 2024)

Learning the 3D Fauna of the Web. - Zizhang Li; Dor Litvak; Ruining Li; Yunzhi Zhang; Tomas Jakab; Christian Rupprecht 001; Shangzhe Wu; Andrea Vedaldi; Jiajun Wu 001 (CVPR, 2024)

Hearing Anything Anywhere. - Mason Long Wang; Ryosuke Sawata; Samuel Clarke; Ruohan Gao; Shangzhe Wu; Jiajun Wu 001 (CVPR, 2024)

IBD-SLAM: Learning Image-Based Depth Fusion for Generalizable SLAM. - Minghao Yin; Shangzhe Wu; Kai Han 001 (CVPR, 2024)

Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos. - Keqiang Sun; Dor Litvak; Yunzhi Zhang; Hongsheng Li 001; Jiajun Wu 001; Shangzhe Wu (ECCV (1), 2024)

Language-Informed Visual Concept Learning. - Sharon Lee; Yunzhi Zhang; Shangzhe Wu; Jiajun Wu 001 (ICLR, 2024)

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction. - Ben Kaye; Tomas Jakab; Shangzhe Wu; Christian Rupprecht 001; Andrea Vedaldi (CoRR, 2024)

CGOF++: Controllable 3D Face Synthesis With Conditional Generative Occupancy Fields. - Keqiang Sun; Shangzhe Wu; Ning Zhang; Zhaoyang Huang; Quan Wang; Hongsheng Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Birth and Death of a Rose. - Chen Geng 001; Yunzhi Zhang; Shangzhe Wu; Jiajun Wu 001 (CVPR, 2025)

Category-Agnostic Neural Object Rigging. - Guangzhao He; Chen Geng 001; Shangzhe Wu; Jiajun Wu 001 (CVPR, 2025)

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction. - Ben Kaye; Tomas Jakab; Shangzhe Wu; Christian Ruprecht; Andrea Vedaldi (CVPR, 2025)

The Scene Language: Representing Scenes with Programs, Words, and Embeddings. - Yunzhi Zhang; Zizhang Li; Matt Zhou; Shangzhe Wu; Jiajun Wu 001 (CVPR, 2025)

Talent3D: Optimizing geometry and enhancing appearance for high-quality Text-to-3D shape generation. - Jun Wang 067; Shangzhe Wu; Ajian Liu 002; Ziyang Meng 001 (Neurocomputing, 2025)

Anymate: A Dataset and Baselines for Learning 3D Object Rigging. - Yufan Deng; Yuhao Zhang; Chen Geng 001; Shangzhe Wu; Jiajun Wu 001 (CoRR, 2025)