| Dynamic hair modeling from monocular videos using deep neural networks L Yang, Z Shi, Y Zheng, K Zhou ACM Transactions on Graphics (TOG) 38 (6), 1-12, 2019 | 33 | 2019 |
| Neuralhdhair: Automatic high-fidelity hair modeling from a single image using implicit neural representations K Wu, Y Ye, L Yang, H Fu, K Zhou, Y Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 23 | 2022 |
| iOrthoPredictor: model-guided deep prediction of teeth alignment Y Lingchen, SHI Zefeng, W Yiqian, LI Xiang, Z Kun, FU Hongbo, Y Zheng ACM Transactions on Graphics 39 (6), 216, 2020 | 13 | 2020 |
| Controlling stroke size in fast style transfer with recurrent convolutional neural network L Yang, L Yang, M Zhao, Y Zheng Computer Graphics Forum 37 (7), 97-107, 2018 | 11 | 2018 |
| Implicit neural representation for physics-driven actuated soft bodies L Yang, B Kim, G Zoss, B Gözcü, M Gross, B Solenthaler ACM Transactions on Graphics (TOG) 41 (4), 1-10, 2022 | 10 | 2022 |
| iHairRecolorer: deep image-to-video hair color transfer K Wu, L Yang, H Fu, Y Zheng Science China Information Sciences 64, 1-15, 2021 | 3 | 2021 |
| An Implicit Physical Face Model Driven by Expression and Style L Yang, G Zoss, P Chandran, P Gotardo, M Gross, B Solenthaler, E Sifakis, ... SIGGRAPH Asia 2023 Conference Papers, 1-12, 2023 | 1 | 2023 |
| Learning a Generalized Physical Face Model From Data L Yang, G Zoss, P Chandran, M Gross, B Solenthaler, E Sifakis, D Bradley arXiv preprint arXiv:2402.19477, 2024 | | 2024 |
| Efficient Incremental Potential Contact for Actuated Face Simulation B Li, L Yang, B Solenthaler SIGGRAPH Asia 2023 Technical Communications, 1-4, 2023 | | 2023 |
| Data-driven physics-based models with implicit actuations G Zoss, B Gözcü, B Solenthaler, L Yang, BS Kim US Patent App. 18/159,651, 2023 | | 2023 |
