| 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 | 97 | 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 | 23 | 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 | 18 | 2024 |
| 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 e-prints, arXiv: 2305.16225, 2023 | 16 | 2023 |
| 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 | 12 | 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 | 12 | 2023 |
| Style-a-video: Agile diffusion for arbitrary text-based video style transfer N Huang, Y Zhang, W Dong arXiv preprint arXiv:2305.05464, 2023 | 5 | 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 | 1 | 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 | | 2024 |
| Language-driven Diversified Image Retargeting R Wang, N Huang, F Tang, W Dong, TY Lee SIGGRAPH Asia 2022 Posters, 1-2, 2022 | | 2022 |
