Publications


DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing
Kaiwen Zhang, Yifan Zhou, Xudong Xu, Xingang Pan (corresponding author), Bo Dai
Computer Vision and Pattern Recognition (CVPR), 2024
[Paper], [Project page]

MVIP-NeRF: Multi-view 3D Inpainting on NeRF Scenes via Diffusion Prior
Honghua Chen, Chen Change Loy, Xingang Pan
Computer Vision and Pattern Recognition (CVPR), 2024
[Paper] Coming soon

AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars
Mohit Mendiratta, Xingang Pan*, Mohamed Elgharib*, Kartik Teotia, Mallikarjun B R, Ayush Tewari, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt
ACM Transactions on Graphics (Proc. of SIGGRAPH Asia 2023)
[Paper], [Project page]

A Neural Implicit Representation for the Image Stack: Depth, All in Focus, and High Dynamic Range
Chao Wang, Ana Serrano, Xingang Pan, Bin Chen, Hans-Peter Seidel, Christian Theobalt, Karol Myszkowski, Krzysztof Wolski, Thomas Leimkühler
ACM Transactions on Graphics (Proc. of SIGGRAPH Asia 2023)
[Paper], [Project page]

HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image
Tong Wu*, Zhibing Li*, Shuai Yang*, Pan Zhang, Xingang Pan, Jiaqi Wang, Ziwei Liu, Dahua Lin
SIGGRAPH Asia (Conference Track), 2023
[Paper], [Project page]

GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild
Chao Wang, Ana Serrano, Xingang Pan, Bin Chen, Hans-Peter Seidel, Christian Theobalt, Karol Myszkowski, Thomas Leimkühler
International Conference on Computer Vision (ICCV), 2023
[Paper], [Project page]

AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation
Yuanbo Xiangli*, Linning Xu*, Xingang Pan, Nanxuan Zhao, Bo Dai, Dahua Lin
International Conference on Computer Vision (ICCV), 2023
[Paper], [Project page]

Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
Xingang Pan, Ayush Tewari, Thomas Leimkühler, Lingjie Liu, Abhimitra Meka, Christian Theobalt
SIGGRAPH (Conference Track), 2023
[Code], [Paper], [Project page]

Grid-guided Neural Radiance Fields for Large Urban Scenes
Linning Xu*, Yuanbo Xiangli*, Sida Peng, Xingang Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, Dahua Lin
Computer Vision and Pattern Recognition (CVPR), 2023
[Paper], [Project page]

Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
Tong Wu, Jiaqi Wang, Xingang Pan, Xudong Xu, Christian Theobalt, Ziwei Liu, Dahua Lin
International Conference on Learning Representations (ICLR), 2023 (spotlight)
[Code], [Paper], [Project page]

GAN2X: Non-Lambertian Inverse Rendering of Image GANs
Xingang Pan, Ayush Tewari, Lingjie Liu, Christian Theobalt
International Conference on 3D Vision (3DV), 2022
[Paper], [Project page]

BungeeNeRF: Progressive Neural Radiance Field for Extreme Multiscale Scene Rendering
Yuanbo Xiangli*, Linning Xu*, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, and Dahua Lin
European Conference on Computer Vision (ECCV), 2022
[Code], [Paper], [Project page]

Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images
Ayush Tewari, Mallikarjun B R, Xingang Pan, Ohad Fried, Maneesh Agrawala, Christian Theobalt
Computer Vision and Pattern Recognition (CVPR), 2022
[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]

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]

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]