| Open-Vocabulary Universal Image Segmentation with MaskCLIP Z Ding, J Wang, Z Tu International Conference on Machine Learning (ICML), 2023 | 164* | 2023 |
| 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 | 141 | 2020 |
| 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 | 59 | 2023 |
| Masqclip for open-vocabulary universal image segmentation X Xu, T Xiong, Z Ding, Z Tu International Conference on Computer Vision (ICCV), 2023 | 41 | 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 | 20 | 2024 |
| Dolfin: Diffusion layout transformers without autoencoder Y Wang, Z Chen, L Zhong, Z Ding, Z Tu European Conference on Computer Vision, 326-343, 2024 | 12 | 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 | 12 | 2024 |
| Explorative inbetweening of time and space H Feng, Z Ding, Z Xia, S Niklaus, V Abrevaya, MJ Black, X Zhang European Conference on Computer Vision, 378-395, 2024 | 7 | 2024 |
| TokenCompose: Text-to-Image Diffusion with Token-level Supervision Z Wang, Z Sha, Z Ding, Y Wang, Z Tu Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 7 | 2024 |
| Restoration by Generation with Constrained Priors Z Ding, X Zhang, Z Tu, Z Xia Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 4 | 2024 |
