| Quicksilver: Fast predictive image registration–a deep learning approach X Yang, R Kwitt, M Styner, M Niethammer NeuroImage 158, 378-396, 2017 | 691 | 2017 |
| Mvdream: Multi-view diffusion for 3d generation Y Shi, P Wang, J Ye, M Long, K Li, X Yang arXiv preprint arXiv:2308.16512, 2023 | 318 | 2023 |
| Fast predictive image registration X Yang, R Kwitt, M Niethammer Deep Learning and Data Labeling for Medical Applications: First …, 2016 | 174 | 2016 |
| Common diffusion noise schedules and sample steps are flawed S Lin, B Liu, J Li, X Yang Proceedings of the IEEE/CVF winter conference on applications of computer …, 2024 | 101 | 2024 |
| Semanticstylegan: Learning compositional generative priors for controllable image synthesis and editing Y Shi, X Yang, Y Wan, X Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 88 | 2022 |
| Sdxl-lightning: Progressive adversarial diffusion distillation S Lin, A Wang, X Yang arXiv preprint arXiv:2402.13929, 2024 | 40 | 2024 |
| Adversarial open domain adaptation for sketch-to-photo synthesis X Xiang, D Liu, X Yang, Y Zhu, X Shen, JP Allebach Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 39 | 2022 |
| Shifted diffusion for text-to-image generation Y Zhou, B Liu, Y Zhu, X Yang, C Chen, J Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 36 | 2023 |
| Registration of pathological images X Yang, X Han, E Park, S Aylward, R Kwitt, M Niethammer Simulation and Synthesis in Medical Imaging: First International Workshop …, 2016 | 33 | 2016 |
| Fast predictive multimodal image registration X Yang, R Kwitt, M Styner, M Niethammer Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on …, 2017 | 30 | 2017 |
| Magicdance: Realistic human dance video generation with motions & facial expressions transfer D Chang, Y Shi, Q Gao, J Fu, H Xu, G Song, Q Yan, X Yang, M Soleymani arXiv preprint arXiv:2311.12052, 2023 | 20 | 2023 |
| Fast predictive simple geodesic regression Z Ding, G Fleishman, X Yang, P Thompson, R Kwitt, M Niethammer, ... Medical image analysis 56, 193-209, 2019 | 20 | 2019 |
| Uncertainty quantification for LDDMM using a low-rank Hessian approximation X Yang, M Niethammer Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 20 | 2015 |
| Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach X Han, X Yang, S Aylward, R Kwitt, M Niethammer Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on, 10-14, 2017 | 15 | 2017 |
| Uncertainty quantification, image synthesis and deformation prediction for image registration X Yang The University of North Carolina at Chapel Hill, 2017 | 12 | 2017 |
| MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion D Chang, Y Shi, Q Gao, H Xu, J Fu, G Song, Q Yan, Y Zhu, X Yang, ... Forty-first International Conference on Machine Learning, 2023 | 11 | 2023 |
| Panic-3d: Stylized single-view 3d reconstruction from portraits of anime characters S Chen, K Zhang, Y Shi, H Wang, Y Zhu, G Song, S An, J Kristjansson, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
| Fast predictive image registration In: Deep Learning and Data Labeling for Medical Applications X Yang, R Kwitt, M Niethammer Springer, 2016 | 9 | 2016 |
| Animatediff-lightning: Cross-model diffusion distillation S Lin, X Yang arXiv preprint arXiv:2403.12706, 2024 | 8 | 2024 |
| Regression uncertainty on the grassmannian Y Hong, X Yang, R Kwitt, M Styner, M Niethammer Artificial Intelligence and Statistics, 785-793, 2017 | 8 | 2017 |
