| Spatial as Deep: Spatial CNN for Traffic Scene Understanding X Pan, J Shi, P Luo, X Wang, X Tang AAAI Conference on Artificial Intelligence, 2018 | 1228 | 2018 |
| Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net X Pan, P Luo, J Shi, X Tang European Conference on Computer Vision, 2018 | 964 | 2018 |
| Exploiting deep generative prior for versatile image restoration and manipulation X Pan, X Zhan, B Dai, D Lin, CC Loy, P Luo IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7474 …, 2021 | 402 | 2021 |
| BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering Y Xiangli, L Xu, X Pan, N Zhao, A Rao, C Theobalt, B Dai, D Lin European Conference on Computer Vision, 2022 | 252 | 2022 |
| Drag your GAN: Interactive point-based manipulation on the generative image manifold X Pan, A Tewari, T Leimkühler, L Liu, A Meka, C Theobalt ACM SIGGRAPH 2023 Conference Proceedings, 1-11, 2023 | 237 | 2023 |
| Switchable Whitening for Deep Representation Learning X Pan, X Zhan, J Shi, X Tang, P Luo IEEE/CVF International Conference on Computer Vision, 2019 | 179 | 2019 |
| Self-Supervised Scene De-occlusion CCL Xiaohang Zhan, Xingang Pan, Dai Bo, Ziwei Liu, Lin Dahua IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020 | 167* | 2020 |
| Open Compound Domain Adaptation Z Liu, Z Miao, X Pan, X Zhan, SX Yu, D Lin, B Gong IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020 | 156 | 2020 |
| Talk-To-Edit: Fine-Grained Facial Editing via Dialog Y Jiang, Z Huang, X Pan, CC Loy, Z Liu IEEE/CVF International Conference on Computer Vision, 2021 | 134 | 2021 |
| Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs X Pan, B Dai, Z Liu, CC Loy, P Luo International Conference on Learning Representations, 2021 | 132 | 2021 |
| Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction T Wu, J Wang, X Pan, X Xu, C Theobalt, Z Liu, D Lin International Conference on Learning Representations, 2023 | 96 | 2023 |
| A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis X Pan, X Xu, CC Loy, C Theobalt, B Dai Neural Information Processing Systems, 2021 | 92 | 2021 |
| Grid-guided neural radiance fields for large urban scenes L Xu, Y Xiangli, S Peng, X Pan, N Zhao, C Theobalt, B Dai, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 89 | 2023 |
| Self-Supervised Learning via Conditional Motion Propagation X Zhan, X Pan, Z Liu, D Lin, CC Loy IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019 | 62 | 2019 |
| Generative Occupancy Fields for 3D Surface-Aware Image Synthesis X Xu, X Pan, D Lin, B Dai Neural Information Processing Systems, 2021 | 58 | 2021 |
| CityNerf: Building NeRF at City Scale Y Xiangli, L Xu, X Pan, N Zhao, A Rao, C Theobalt, B Dai, D Lin arXiv preprint arXiv:2112.05504 2, 2021 | 53 | 2021 |
| Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images A Tewari, X Pan, O Fried, M Agrawala, C Theobalt IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 | 50 | 2022 |
| LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation Y Lan, F Hong, S Yang, S Zhou, X Meng, B Dai, X Pan, CC Loy European Conference on Computer Vision, 112-130, 2024 | 29 | 2024 |
| Diffmorpher: Unleashing the capability of diffusion models for image morphing K Zhang, Y Zhou, X Xu, B Dai, X Pan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 26 | 2024 |
| Avatarstudio: Text-driven editing of 3d dynamic human head avatars M Mendiratta, X Pan, M Elgharib, K Teotia, A Tewari, V Golyanik, ... ACM Transactions on Graphics (ToG) 42 (6), 1-18, 2023 | 26* | 2023 |
Christian TheobaltProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland Universitympi-inf.mpg.de의 이메일 확인됨
