Inversion-Based Style Transfer With Diffusion Models Y Zhang, N Huang, F Tang, H Huang, C Ma, W Dong, C Xu IEEE/CVF Conference on Computer Vision and Pattern Recognition, 10146-10156, 2023 | 160 | 2023 |
Domain enhanced arbitrary image style transfer via contrastive learning Y Zhang, F Tang, W Dong, H Huang, C Ma, TY Lee, C Xu ACM SIGGRAPH 2022 Conference Proceedings, 12:1-12:8, 2022 | 122 | 2022 |
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 | 43* | 2023 |
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 |
A unified arbitrary style transfer framework via adaptive contrastive learning Y Zhang, F Tang, W Dong, H Huang, C Ma, TY Lee, C Xu ACM Transactions on Graphics 42 (5), 1-16, 2023 | 19 | 2023 |
Style-a-video: Agile diffusion for arbitrary text-based video style transfer N Huang, Y Zhang, W Dong IEEE Signal Processing Letters, 2024 | 9 | 2024 |
Dance-to-music generation with encoder-based textual inversion of diffusion models S Li, W Dong, Y Zhang, F Tang, C Ma, O Deussen, TY Lee, C Xu arXiv preprint arXiv:2401.17800, 2024 | 5 | 2024 |
Music Style Transfer with Time-Varying Inversion of Diffusion Models S Li, Y Zhang, F Tang, C Ma, W Dong, C Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 547-555, 2024 | 4 | 2024 |
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 |
Portrait map art generation by asymmetric Image-to-Image translation Y Zhang, F Tang, W Dong, TNH Le, C Xu, TY Lee Leonardo 56 (1), 28-36, 2023 | 2 | 2023 |
Break-for-Make: Modular Low-Rank Adaptations for Composable Content-Style Customization Y Xu, F Tang, J Cao, Y Zhang, O Deussen, W Dong, J Li, TY Lee arXiv preprint arXiv:2403.19456, 2024 | 1 | 2024 |
A Comprehensive Evaluation of Arbitrary Image Style Transfer Methods Z Zhou, F Tang, Y Zhang, O Deussen, J Cao, W Dong, X Li, TY Lee IEEE Transactions on Visualization and Computer Graphics, 2024 | | 2024 |
Quantification of Artist Representativity within an Art Movement Y Zhang, F Tang, W Dong, C Xu 2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2022 | | 2022 |