Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks

1 code implementation • 3 May 2022 • Xiaoyu Pan, Jiaming Mai, Xinwei Jiang, Dongxue Tang, Jingxiang Li, Tianjia Shao, Kun Zhou, Xiaogang Jin, Dinesh Manocha

We present a learning algorithm that uses bone-driven motion networks to predict the deformation of loose-fitting garment meshes at interactive rates.

MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Images

no code implementations • 22 Oct 2022 • Xiaoyu Pan, Huazheng Zhu, Jinglong Du, Guangtao Hu, Baoru Han, Yuanyuan Jia

The Coronavirus Disease 2019 (COVID-19) pandemic has increased the public health burden and brought profound disaster to humans.

Image Segmentation Learning Theory +3

A Locality-based Neural Solver for Optical Motion Capture

1 code implementation • 1 Sep 2023 • Xiaoyu Pan, Bowen Zheng, Xinwei Jiang, Guanglong Xu, Xianli Gu, Jingxiang Li, Qilong Kou, He Wang, Tianjia Shao, Kun Zhou, Xiaogang Jin

Finally, we propose a training regime based on representation learning and data augmentation, by training the model on data with masking.

Data Augmentation Representation Learning