Spatial as Deep: Spatial CNN for Traffic Scene Understanding. - Xingang Pan; Jianping Shi; Ping Luo 002; Xiaogang Wang 001; Xiaoou Tang (AAAI, 2018)

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net. - Xingang Pan; Ping Luo 002; Jianping Shi; Xiaoou Tang (ECCV (4), 2018)

Self-Supervised Learning via Conditional Motion Propagation. - Xiaohang Zhan; Xingang Pan; Ziwei Liu 002; Dahua Lin; Chen Change Loy (CVPR, 2019)

Switchable Whitening for Deep Representation Learning. - Xingang Pan; Xiaohang Zhan; Jianping Shi; Xiaoou Tang; Ping Luo 002 (ICCV, 2019)

Compound Domain Adaptation in an Open World. - Ziwei Liu 002; Zhongqi Miao; Xingang Pan; Xiaohang Zhan; Stella X. Yu; Dahua Lin; Boqing Gong (CoRR, 2019)

Open Compound Domain Adaptation. - Ziwei Liu 002; Zhongqi Miao; Xingang Pan; Xiaohang Zhan; Dahua Lin; Stella X. Yu; Boqing Gong (CVPR, 2020)

Self-Supervised Scene De-Occlusion. - Xiaohang Zhan; Xingang Pan; Bo Dai 002; Ziwei Liu 002; Dahua Lin; Chen Change Loy (CVPR, 2020)

Channel Equilibrium Networks for Learning Deep Representation. - Wenqi Shao; Shitao Tang; Xingang Pan; Ping Tan; Xiaogang Wang 001; Ping Luo 002 (ICML, 2020)

Talk-to-Edit: Fine-Grained Facial Editing via Dialog. - Yuming Jiang 003; Ziqi Huang; Xingang Pan; Chen Change Loy; Ziwei Liu 002 (ICCV, 2021)

Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs. - Xingang Pan; Bo Dai 002; Ziwei Liu 002; Chen Change Loy; Ping Luo 002 (ICLR, 2021)

A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis. - Xingang Pan; Xudong Xu; Chen Change Loy; Christian Theobalt; Bo Dai 002 (NeurIPS, 2021)

Generative Occupancy Fields for 3D Surface-Aware Image Synthesis. - Xudong Xu; Xingang Pan; Dahua Lin; Bo Dai 002 (NeurIPS, 2021)

CityNeRF: Building NeRF at City Scale. - Yuanbo Xiangli; Linning Xu; Xingang Pan; Nanxuan Zhao; Anyi Rao; Christian Theobalt; Bo Dai 002; Dahua Lin (CoRR, 2021)

GAN2X: Non-Lambertian Inverse Rendering of Image GANs. - Xingang Pan; Ayush Tewari; Lingjie Liu; Christian Theobalt (3DV, 2022)

gCoRF: Generative Compositional Radiance Fields. - Mallikarjun B. R. 001; Ayush Tewari; Xingang Pan; Mohamed Elgharib; Christian Theobalt (3DV, 2022)

Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images. - Ayush Tewari; Mallikarjun B. R. 001; Xingang Pan; Ohad Fried; Maneesh Agrawala; Christian Theobalt (CVPR, 2022)

BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering. - Yuanbo Xiangli; Linning Xu; Xingang Pan; Nanxuan Zhao; Anyi Rao; Christian Theobalt; Bo Dai 002; Dahua Lin (ECCV (32), 2022)

Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation. - Xingang Pan; Xiaohang Zhan; Bo Dai 002; Dahua Lin; Chen Change Loy; Ping Luo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Grid-guided Neural Radiance Fields for Large Urban Scenes. - Linning Xu; Yuanbo Xiangli; Sida Peng; Xingang Pan; Nanxuan Zhao; Christian Theobalt; Bo Dai 002; Dahua Lin (CVPR, 2023)

GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild. - Chao Wang 037; Ana Serrano; Xingang Pan; Bin Chen 019; Karol Myszkowski; Hans-Peter Seidel; Christian Theobalt; Thomas Leimkühler (ICCV, 2023)

AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation. - Yuanbo Xiangli; Linning Xu; Xingang Pan; Nanxuan Zhao; Bo Dai 002; Dahua Lin (ICCV, 2023)

Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction. - Tong Wu; Jiaqi Wang 003; Xingang Pan; Xudong Xu; Christian Theobalt; Ziwei Liu 002; Dahua Lin (ICLR, 2023)

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 Paper Track), 2023)

HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image. - Tong Wu; Zhibing Li; Shuai Yang 001; Pan Zhang 001; Xingang Pan; Jiaqi Wang 003; Dahua Lin; Ziwei Liu 002 (SIGGRAPH Asia, 2023)

HQ3DAvatar: High Quality Controllable 3D Head Avatar. - Kartik Teotia; Mallikarjun B. R. 001; Xingang Pan; Hyeongwoo Kim; Pablo Garrido 001; Mohamed Elgharib; Christian Theobalt (CoRR, 2023)

MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR. - Xudong Xu; Zhaoyang Lyu; Xingang Pan; Bo Dai 002 (CoRR, 2023)

AvatarStudio: Text-Driven Editing of 3D Dynamic Human Head Avatars. - Mohit Mendiratta; Xingang Pan; Mohamed Elgharib; Kartik Teotia; Mallikarjun B. R. 001; Ayush Tewari; Vladislav Golyanik; Adam Kortylewski; Christian Theobalt (ACM Trans. Graph., 2023)

An Implicit Neural Representation for the Image Stack: Depth, All in Focus, and High Dynamic Range. - Chao Wang 037; Ana Serrano; Xingang Pan; Krzysztof Wolski; Bin Chen 019; Karol Myszkowski; Hans-Peter Seidel; Christian Theobalt; Thomas Leimkühler (ACM Trans. Graph., 2023)

MVIP-NeRF: Multi-View 3D Inpainting on NeRF Scenes via Diffusion Prior. - Honghua Chen; Chen Change Loy; Xingang Pan (CVPR, 2024)

DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing. - Kaiwen Zhang 015; Yifan Zhou 001; Xudong Xu; Bo Dai 002; Xingang Pan (CVPR, 2024)

ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance. - Yongwei Chen; Tengfei Wang 002; Tong Wu; Xingang Pan; Kui Jia; Ziwei Liu 002 (ECCV (24), 2024)

LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation. - Yushi Lan; Fangzhou Hong; Shuai Yang 001; Shangchen Zhou; Xuyi Meng; Bo Dai 002; Xingang Pan; Chen Change Loy (ECCV (4), 2024)

Video Diffusion Models are Training-free Motion Interpreter and Controller. - Zeqi Xiao; Yifan Zhou 001; Shuai Yang 001; Xingang Pan (NeurIPS, 2024)

I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models. - Wenqi Ouyang; Yi Dong; Lei Yang 045; Jianlou Si; Xingang Pan (SIGGRAPH Asia, 2024)

Unsupervised Event-Based Video Reconstruction. - Gereon Fox; Xingang Pan; Ayush Tewari; Mohamed Elgharib; Christian Theobalt (WACV, 2024)

Live2Diff: Live Stream Translation via Uni-directional Attention in Video Diffusion Models. - Zhening Xing; Gereon Fox; Yanhong Zeng; Xingang Pan; Mohamed Elgharib; Christian Theobalt; Kai Chen 026 (CoRR, 2024)

MvDrag3D: Drag-based Creative 3D Editing via Multi-view Generation-Reconstruction Priors. - Honghua Chen; Yushi Lan; Yongwei Chen; Yifan Zhou 001; Xingang Pan (CoRR, 2024)

GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation. - Yushi Lan; Shangchen Zhou; Zhaoyang Lyu; Fangzhou Hong; Shuai Yang 001; Bo Dai 002; Xingang Pan; Chen Change Loy (CoRR, 2024)

Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation. - Tianyi Wei; Dongdong Chen; Yifan Zhou 001; Xingang Pan (CoRR, 2024)

Talk-to-Edit: Fine-Grained 2D and 3D Facial Editing via Dialog. - Yuming Jiang 003; Ziqi Huang; Tianxing Wu 002; Xingang Pan; Chen Change Loy; Ziwei Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

HQ3DAvatar: High-quality Implicit 3D Head Avatar. - Kartik Teotia; Mallikarjun B. R. 001; Xingang Pan; Hyeongwoo Kim; Pablo Garrido 001; Mohamed Elgharib; Christian Theobalt (ACM Trans. Graph., 2024)

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 Trans. Graph., 2024)

GVP: Generative Volumetric Primitives. - Mallikarjun B. R. 001; Xingang Pan; Mohamed Elgharib; Christian Theobalt (3DV, 2025)

Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space. - Yifan Zhou 001; Zeqi Xiao; Shuai Yang 001; Xingang Pan (CVPR, 2025)

SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE. - Yongwei Chen; Yushi Lan; Shangchen Zhou; Tengfei Wang 002; Xingang Pan (CVPR, 2025)

Neural LightRig: Unlocking Accurate Object Normal and Material Estimation with Multi-Light Diffusion. - Zexin He; Tengfei Wang 002; Xin Huang 021; Xingang Pan; Ziwei Liu 002 (CVPR, 2025)

3DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement. - Yihang Luo; Shangchen Zhou; Yushi Lan; Xingang Pan; Chen Change Loy (CVPR, 2025)

GaussianAnything: Interactive Point Cloud Flow Matching for 3D Generation. - Yushi Lan; Shangchen Zhou; Zhaoyang Lyu; Fangzhou Hong; Shuai Yang 001; Bo Dai 002; Xingang Pan; Chen Change Loy (ICLR, 2025)

Trajectory attention for fine-grained video motion control. - Zeqi Xiao; Wenqi Ouyang; Yifan Zhou 001; Shuai Yang 001; Lei Yang 045; Jianlou Si; Xingang Pan (ICLR, 2025)

Textured 3D Regenerative Morphing with 3D Diffusion Prior. - Songlin Yang; Yushi Lan; Honghua Chen; Xingang Pan (CoRR, 2025)

Bokeh Diffusion: Defocus Blur Control in Text-to-Image Diffusion Models. - Armando Fortes; Tianyi Wei; Shangchen Zhou; Xingang Pan (CoRR, 2025)

Alias-Free Latent Diffusion Models:Improving Fractional Shift Equivariance of Diffusion Latent Space. - Yifan Zhou 001; Zeqi Xiao; Shuai Yang 001; Xingang Pan (CoRR, 2025)

FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing. - Tianyi Wei; Yifan Zhou 001; Dongdong Chen; Xingang Pan (CoRR, 2025)

WORLDMEM: Long-term Consistent World Simulation with Memory. - Zeqi Xiao; Yushi Lan; Yifan Zhou 001; Wenqi Ouyang; Shuai Yang 001; Yanhong Zeng; Xingang Pan (CoRR, 2025)

Epona: Autoregressive Diffusion World Model for Autonomous Driving. - Kaiwen Zhang 015; Zhenyu Tang; Xiaotao Hu; Xingang Pan; Xiaoyang Guo; Yuan Liu; Jingwei Huang; Li Yuan; Qian Zhang 001; Xiao-Xiao Long; Xun Cao; Wei Yin 006 (CoRR, 2025)

TokensGen: Harnessing Condensed Tokens for Long Video Generation. - Wenqi Ouyang; Zeqi Xiao; Danni Yang; Yifan Zhou 001; Shuai Yang 001; Lei Yang 045; Jianlou Si; Xingang Pan (CoRR, 2025)

STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer. - Yushi Lan; Yihang Luo; Fangzhou Hong; Shangchen Zhou; Honghua Chen; Zhaoyang Lyu; Shuai Yang 001; Bo Dai 002; Chen Change Loy; Xingang Pan (CoRR, 2025)