Xingang Pan


Assistant Professor
College of Computing and Data Science
Nanyang Technological University
Email: xingang.pan[at]ntu.edu.sg
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Research Interests:

Computer Vision
Generative Models
3D Vision
Computer Graphics

I am a Nanyang Assistant Professor with MMLab@NTU at the College of Computing and Data Science, Nanyang Technological University. Prior to joining NTU, I was 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 obtained my Bachelor's degree from Tsinghua University in 2016.

Our group studies generative intelligence, focusing on the fundamental and interesting problems towards more capable generative AI, especially for visual content creation. We are also interested in exploring the transformative potential of generative power in addressing broader scientific questions.

To prospective students:
Application: If you are interested in joining our group at MMLab@NTU, please drop me an email at xingang.pan\[at\]ntu.edu.sg with your resume or directly apply through the system. Priority will be given to candidates with research experience in Embodied AI, then Generative AI.
PhD nationality constraints: Currently we still have openings without any nationality constraint. Students from any countries are welcome to apply.
Due to the volume of emails received, we regret that only shortlisted candidates will be contacted. Thanks for your understanding.

Selected Publications

Google Scholar and Full List.

WORLDMEM: Long-term Consistent World Simulation with Memory
Zeqi Xiao, Yushi Lan, Yifan Zhou, Wenqi Ouyang, Shuai Yang, Yanhong Zeng, Xingang Pan.
arXiv preprint, 2025.
[Project] [Paper] [Code]
Epona: Autoregressive Diffusion World Model for Autonomous Driving
Kaiwen Zhang, Zhenyu Tang, Xiaotao Hu, Xingang Pan, Xiaoyang Guo, Yuan Liu, Jingwei Huang, Li Yuan, Qian Zhang, Xiaoxiao Long, Xun Cao, Wei Yin.
International Conference on Computer Vision (ICCV), 2025.
[Project] [Paper] [Code]
FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing
Tianyi Wei, Yifan Zhou, Dongdong Chen, Xingang Pan.
International Conference on Computer Vision (ICCV), 2025.
[Project] [Paper] [Code]
Textured 3D Regenerative Morphing with 3D Diffusion Prior
Songlin Yang, Yushi LAN, Honghua Chen, Xingang Pan.
International Conference on Computer Vision (ICCV), 2025.
[Project] [Paper] [Code]
TokensGen: Harnessing Condensed Tokens for Long Video Generation
Wenqi Ouyang, Zeqi Xiao, Danni Yang, Yifan Zhou, Shuai Yang, Lei Yang, Jianlou Si, Xingang Pan.
International Conference on Computer Vision (ICCV), 2025.
[Coming soon]
Alias-free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space
Yifan Zhou, Zeqi Xiao, Shuai Yang, Xingang Pan.
Computer Vision and Pattern Recognition (CVPR), 2025 (oral).
[Project] [Paper] [Code]
SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE
Yongwei Chen, Yushi Lan, Shangchen Zhou, Tengfei Wang, Xingang Pan.
Computer Vision and Pattern Recognition (CVPR), 2025.
[Project] [Paper] [Code]
3DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
Yihang Luo, Shangchen Zhou, Yushi Lan, Xingang Pan, Chen Change Loy.
Computer Vision and Pattern Recognition (CVPR), 2025.
[Project] [Paper]
Neural LightRig: Unlocking Accurate Object Normal and Material Estimation with Multi-Light Diffusion
Zexin He1*, Tengfei Wang2*, Xin Huang, Xingang Pan, Ziwei Liu.
Computer Vision and Pattern Recognition (CVPR), 2025.
[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.
International Conference on Learning Representations (ICLR), 2025.
[Project] [Paper] [Code]
Trajectory Attention For Fine-grained Video Motion Control
Zeqi Xiao, Wenqi Ouyang, Yifan Zhou, Shuai Yang, Lei Yang, Jianlou Si, Xingang Pan.
International Conference on Learning Representations (ICLR), 2025.
[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] [Code]
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]
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]
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]
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]
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]
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]