| Guided variational autoencoder for disentanglement learning Z Ding, Y Xu, W Xu, G Parmar, Y Yang, M Welling, Z Tu Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 119 | 2020 |
| Open-Vocabulary Universal Image Segmentation with MaskCLIP Z Ding, J Wang, Z Tu International Conference on Machine Learning (ICML), 2023 | 110* | 2023 |
| DiffusionRig: Learning Personalized Priors for Facial Appearance Editing Z Ding, X Zhang, Z Xia, L Jebe, Z Tu, X Zhang Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 39 | 2023 |
| Masqclip for open-vocabulary universal image segmentation X Xu, T Xiong, Z Ding, Z Tu International Conference on Computer Vision (ICCV), 2023 | 22 | 2023 |
| Patched denoising diffusion models for high-resolution image synthesis Z Ding, M Zhang, J Wu, Z Tu International Conference on Learning Representations (ICLR), 2024 | 5 | 2024 |
| Explorative Inbetweening of Time and Space H Feng, Z Ding, Z Xia, S Niklaus, V Abrevaya, MJ Black, X Zhang arXiv preprint arXiv:2403.14611, 2024 | 2 | 2024 |
| HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data M Zhang, Y Fu, Z Ding, S Liu, Z Tu, X Wang Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 2 | 2024 |
| Restoration by Generation with Constrained Priors Z Ding, X Zhang, Z Tu, Z Xia Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 1 | 2024 |
