Controllable Mind Visual Diffusion Model B Zeng, S Li, X Liu, S Gao, X Jiang, X Tang, Y Hu, J Liu, B Zhang Thirty-Eighth AAAI Conference on Artificial Intelligence, 2023 | 13 | 2023 |
Ipdreamer: Appearance-controllable 3d object generation with image prompts B Zeng, S Li, Y Feng, H Li, S Gao, J Liu, H Li, X Tang, J Liu, B Zhang arXiv preprint arXiv:2310.05375, 2023 | 11 | 2023 |
ZONE: Zero-Shot Instruction-Guided Local Editing S Li, B Zeng, Y Feng, S Gao, X Liu, J Liu, L Lin, X Tang, Y Hu, J Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
Federated Learning via Input-Output Collaborative Distillation X Gong, S Li, Y Bao, B Yao, Y Huang, Z Wu, B Zhang, Y Zheng, ... Thirty-Eighth AAAI Conference on Artificial Intelligence, 2023 | 1 | 2023 |
UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation H Li, Y Feng, S Xue, X Liu, B Zeng, S Li, B Liu, J Liu, S Han, B Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
LaDiffGAN: Training GANs with Diffusion Supervision in Latent Spaces X Liu, B Zeng, S Gao, S Li, Y Feng, H Li, B Liu, J Liu, B Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Supplementary Material ZONE: Zero-Shot Instruction-Guided Local Editing S Li, B Zeng, Y Feng, SGX Liu, J Liu, L Li, X Tang, Y Hu, J Liu, B Zhang, ... | | |