1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Moyun: A Diffusion-Based Model for Style-Specific Chinese Calligraphy Generation
Kaiyuan Liu, Jiahao Mei, Hengyu Zhang +3
Although Chinese calligraphy generation has achieved style transfer, generating calligraphy by specifying the calligrapher, font, and character style remains challenging. To addres…
cs.SD2024
TEAdapter: Supply abundant guidance for controllable text-to-music generation
Jialing Zou, Jiahao Mei, Xudong Nan +3
Although current text-guided music generation technology can cope with simple creative scenarios, achieving fine-grained control over individual text-modality conditions remains ch…
cs.MM2023★ 1 cited
EMID: An Emotional Aligned Dataset in Audio-Visual Modality
Jialing Zou, Jiahao Mei, Guangze Ye +3
In this paper, we propose Emotionally paired Music and Image Dataset (EMID), a novel dataset designed for the emotional matching of music and images, to facilitate auditory-visual…