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CAO Yu, Daniel

PhD Graduate, 2025

Daniel's research focus is on computer graphics.

Focus on research topic: Anime Content Creation Using AI-Generated Content (AIGC) Technology

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Computer-aided Colorization State-of-the-science: A Survey.

Cao, Y., Duan, X., Meng, X., Mok, P. Y., Li, P., & Lee, T. Y.* (2025). Computer-aided Colorization State-of-the-science: A Survey. IEEE Transactions on Visualization and Computer Graphics.Computer-aided Colorization State-of-the-science: A Survey.

AnimeDiffusion: Anime Diffusion Colorization

Yu Cao, Xiangqiao Meng, P. Y. Mok, Tong-Yee Lee, Xueting Liu, Ping Li (2024), AnimeDiffusion: Anime Diffusion Colorization, IEEE Transactions on Visualization and Computer Graphics, https://doi.org/10.1109/ TVCG.2024.3357568.

SewPCT: Sewing Pattern Reconstruction from Point Cloud with Transformer.

Tian, H., Cao, Y., & Mok, P. Y.* (2024, July). SewPCT: Sewing Pattern Reconstruction from Point Cloud with Transformer. In Computer Graphics International Conference (CGI 2024)(pp. 211-223). Cham: Springer Nature Switzerland.

Attention-aware anime line drawing colorization

Cao, Y., Tian, H., and Mok, P. Y.* (2023). Attention-aware anime line drawing colorization. IEEE International Conference on Multimedia and Expo (ICME 2023), pp. 1637-1642, Brisbane. Australia, 10-14 July 2023. (no. of citation=2)

DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition

Tian, H., Cao, Y., and Mok, P. Y.* (2023) DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), pp. 3534-3538, Jun 18-22 2023, Vancouver, Canada.