no code implementations • 5 Aug 2023 • TianXing Li, Rui Shi, Qing Zhu, Takashi Kanai
Our work presents a novel spectrum-inspired learning-based approach for generating clothing deformations with dynamic effects and personalized details.
no code implementations • 15 Dec 2021 • TianXing Li, Rui Shi, Takashi Kanai
This paper presents a novel learning-based clothing deformation method to generate rich and reasonable detailed deformations for garments worn by bodies of various shapes in various animations.
no code implementations • 5 Jun 2019 • TianXing Li, Zhi Yu, Edmund Phung, Brendan Duke, Irina Kezele, Parham Aarabi
Recent works on convolutional neural networks (CNNs) for facial alignment have demonstrated unprecedented accuracy on a variety of large, publicly available datasets.