About me

I am a postdoc researcher at Max Planck Institute for Informatics, advised by Prof. Christian Theobalt. I received my Ph.D. degree at Multimedia Laboratory in the Chinese University of Hong Kong in 2021, supervised by Prof. Xiaoou Tang. I also worked closely with Prof. Ping Luo and Prof. Chen Change Loy during my Ph.D. time. I obtained my Bachelor’s degree from Tsinghua University in 2016. My current research interests include neural rendering, generative models, and unsupervised 3D learning via inverse graphics.

News

Two papers accepted to NeurIPS2021.
One paper accepted to ICCV2021.
Deep generative prior (DGP) was accepted to TPAMI.
Our recent work GAN2Shape was accepted to ICLR2021 as an oral presentation. It shows the possibility of reconstructing 3D object shapes via 2D image GANs!
Deep generative prior (DGP) was accepted to ECCV2020 as an oral presentation. It achieves precise GAN-inversion, enabling versatile interesting applications.
Two papers were accepted to CVPR2020 as oral presentations.


The Chinese University of Hong Kong, HK SAR: August 2017 - July 2021; Ph.D. in Information Engineering.

Tsinghua University, Beijing, China: August 2012 - July 2016; B.E. in Automotive Engineering; GPA: 92.7, rank 1/86.


CityNeRF: Building NeRF at City Scale: Yuanbo Xiangli*, Linning Xu*, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, and Dahua Lin; Arxiv preprint; [Paper], [Project page]


Generative Occupancy Fields for 3D Surface-Aware Image Synthesis: Xudong Xu, Xingang Pan, Dahua Lin, Bo Dai; Advances in Neural Information Processing Systems (NeurIPS), 2021; [Code], [Paper], [Project page]


A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis: Xingang Pan, Xudong Xu, Chen Change Loy, Christian Theobalt, Bo Dai; Advances in Neural Information Processing Systems (NeurIPS), 2021; [Code], [Paper], [Project page], [Video]


Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation: Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo; IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021; [Code], [Paper], [Project page]


Talk-to-Edit: Fine-Grained Facial Editing via Dialog: Yuming Jiang*, Ziqi Huang*, Xingang Pan, Chen Change Loy, Ziwei Liu; International Conference on Computer Vision (ICCV), 2021; [Code], [Paper], [Project page], [Dataset]


Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs: Xingang Pan, Bo Dai, Ziwei Liu, Chen Change Loy, Ping Luo; International Conference on Learning Representations (ICLR), 2021 (oral); [Code], [Paper], [Project page], [Video]


Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation: Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo; European Conference on Computer Vision (ECCV), 2020 (oral); [Code], [Paper], [Project page]


Self-Supervised Scene De-occlusion: Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, Chen Change Loy; Computer Vision and Pattern Recognition (CVPR), 2020 (oral); [Code], [Paper], [Project page]


Open Compound Domain Adaptation: Ziwei Liu*, Zhongqi Miao*, Xingang Pan, Xiaohang Zhan, Stella X. Yu, Dahua Lin, Boqing Gong; Computer Vision and Pattern Recognition (CVPR), 2020 (oral); [Paper], [Project page]


Channel Equilibrium Networks for Learning Deep Representation: Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo; International Conference on Machine Learning (ICML), 2020; [Paper]


Switchable Whitening for Deep Representation Learning: Xingang Pan, Xiaohang Zhan, Jianping Shi, Xiaoou Tang, Ping Luo; International Conference on Computer Vision (ICCV), 2019; [Code], [Paper]


Self-Supervised Learning via Conditional Motion Propagation: Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy; Computer Vision and Pattern Recognition (CVPR), 2019; [Code], [Paper]


Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net: Xingang Pan, Ping Luo, Jianping Shi, Xiaoou Tang; European Conference on Computer Vision (ECCV), 2018; [Code], [Paper], [Supplementary]


Spatial As Deep: Spatial CNN for Traffic Scene Understanding: Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, Xiaoou Tang; Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018; [Dataset], [Code], [Paper], [Demo]

I serve as a reviewer for CVPR, ICCV, ECCV, BMVC, NeurIPS, AAAI, and TPAMI.


Max Planck Institute for Informatics, Germany: August 2021 - Now; Postdoc researcher at the Department of Visual Computing and Artificial Intelligence

The Chinese University of Hong Kong, HK SAR: October 2016 - August 2017; Junior Research Assistant at Multimedia Laboratory