| Inversion-based style transfer with diffusion models Y Zhang, N Huang, F Tang, H Huang, C Ma, W Dong, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 160 | 2023 |
| Draw your art dream: Diverse digital art synthesis with multimodal guided diffusion N Huang, F Tang, W Dong, C Xu Proceedings of the 30th ACM International Conference on Multimedia, 1085-1094, 2022 | 32 | 2022 |
| Diffstyler: Controllable dual diffusion for text-driven image stylization N Huang, Y Zhang, F Tang, C Ma, H Huang, W Dong, C Xu IEEE Transactions on Neural Networks and Learning Systems, 2024 | 29 | 2024 |
| Prospect: Prompt spectrum for attribute-aware personalization of diffusion models Y Zhang, W Dong, F Tang, N Huang, H Huang, C Ma, TY Lee, O Deussen, ... ACM Transactions on Graphics (TOG) 42 (6), 1-14, 2023 | 22 | 2023 |
| Prospect: Expanded conditioning for the personalization of attribute-aware image generation Y Zhang, W Dong, F Tang, N Huang, H Huang, C Ma, TY Lee, O Deussen, ... arXiv preprint arXiv:2305.16225 2 (3), 6, 2023 | 21 | 2023 |
| Region-aware diffusion for zero-shot text-driven image editing N Huang, F Tang, W Dong, TY Lee, C Xu Computational Visual Media Conference, 2023 | 16 | 2023 |
| Style-a-video: Agile diffusion for arbitrary text-based video style transfer N Huang, Y Zhang, W Dong IEEE Signal Processing Letters, 2023 | 9 | 2023 |
| Motioncrafter: One-shot motion customization of diffusion models Y Zhang, F Tang, N Huang, H Huang, C Ma, W Dong, C Xu arXiv preprint arXiv:2312.05288, 2023 | 3 | 2023 |
| CreativeSynth: Creative blending and synthesis of visual arts based on multimodal diffusion N Huang, W Dong, Y Zhang, F Tang, R Li, C Ma, X Li, C Xu arXiv preprint arXiv:2401.14066, 2024 | 2 | 2024 |
| Language-driven Diversified Image Retargeting R Wang, N Huang, F Tang, W Dong, TY Lee SIGGRAPH Asia 2022 Posters, 1-2, 2022 | | 2022 |
