Publications

Full list on Google Scholar

SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE
Yongwei Chen, Yushi Lan, Shangchen Zhou, Tengfei Wang, Xingang Pan.
arXiv preprint, 2024.
[Project] [Paper] [Code]
Neural LightRig: Unlocking Accurate Object Normal and Material Estimation with Multi-Light Diffusion
Zexin He1*, Tengfei Wang2*, Xin Huang, Xingang Pan, Ziwei Liu.
arXiv preprint, 2024.
[Project] [Paper] [Code]
GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation
Yushi Lan, Shangchen Zhou, Zhaoyang Lyu, Fangzhou Hong, Shuai Yang, Bo Dai, Xingang Pan, Chen Change Loy.
arXiv preprint, 2024.
[Project] [Paper] [Code]
MVDrag3D: Drag-based Creative 3D Editing via Multi-view Generation-Reconstruction Priors
Honghua Chen, Yushi Lan, Yongwei Chen, Yifan Zhou, Xingang Pan.
arXiv preprint, 2024.
[Project] [Paper]
Trajectory Attention For Fine-grained Video Motion Control
Zeqi Xiao, Wenqi Ouyang, Yifan Zhou, Shuai Yang, Lei Yang, Jianlou Si, Xingang Pan.
arXiv preprint, 2024.
[Project] [Paper] [Code]
Video Diffusion Models are Training-free Motion Interpreter and Controller
Zeqi Xiao, Yifan Zhou, Shuai Yang, Xingang Pan.
Advances in Neural Information Processing Systems (NeurIPS), 2024.
[Project] [Paper]
I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models
Ouyang Wenqi, Yi Dong, Lei Yang, Jianlou Si, Xingang Pan.
SIGGRAPH Asia, 2024.
[Project] [Paper]
LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation
Yushi Lan, Fangzhou Hong, Shuai Yang, Shangchen Zhou, Xuyi Meng, Bo Dai, Xingang Pan, Chen Change Loy.
European Conference on Computer Vision (ECCV), 2024.
[Project] [Paper] [Code]
ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance
Yongwei Chen*, Tengfei Wang*, Tong Wu, Xingang Pan, Kui Jia, Ziwei Liu.
European Conference on Computer Vision (ECCV), 2024.
[Paper] [Project]
Learning Images Across Scales Using Adversarial Training
Krzysztof Wolski, Adarsh Djeacoumar, Alireza Javanmardi, Hans-Peter Seidel, Christian Theobalt, Guillaume Cordonnier, Karol Myszkowski, George Drettakis, Xingang Pan, Thomas Leimkühler.
ACM Transactions on Graphics (Proc. of SIGGRAPH 2024).
[Paper] [Project]
HQ3DAvatar: High Quality Implicit 3D Head Avatar
Kartik Teotia, Mallikarjun B R, Xingang Pan, Hyeongwoo Kim, Pablo Garrido, Mohamed Elgharib, Christian Theobalt.
ACM Transactions on Graphics (ACM TOG 2024).
[Paper] [Project]
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]
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] [Code]
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]
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]
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, 2023.
[Paper] [Project]
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]
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]
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, 2023.
[Code] [Paper] [Project] [Media coverage: The Independent, Business Insider, The Verge]
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]
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]
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]
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]
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]
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]
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]
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]
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] [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] [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]
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]
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]
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, Jian Ping Shi, Ping Luo, Xiaogang Wang, Xiaoou Tang.
Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018.
[Dataset] [Code] [Paper] [Demo]