| 3d guided fine-grained face manipulation Z Geng, C Cao, S Tulyakov Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 101 | 2019 |
| A pixel‐based framework for data‐driven clothing N Jin, Y Zhu, Z Geng, R Fedkiw Computer Graphics Forum 39 (8), 135-144, 2020 | 54 | 2020 |
| Coercing machine learning to output physically accurate results Z Geng, D Johnson, R Fedkiw Journal of Computational Physics 406, 109099, 2020 | 31 | 2020 |
| Inequality cloth N Jin, W Lu, Z Geng, RP Fedkiw Proceedings of the ACM SIGGRAPH/Eurographics symposium on computer animation …, 2017 | 19 | 2017 |
| Depth estimation from single image using CNN-residual network X Ma, Z Geng, Z Bie Semantic Scholar. Available online: http://cs231n. stanford. edu/reports …, 2017 | 14 | 2017 |
| Towards photo-realistic facial expression manipulation Z Geng, C Cao, S Tulyakov International Journal of Computer Vision 128, 2744-2761, 2020 | 12 | 2020 |
| Skinning a parameterization of three-dimensional space for neural network cloth J Wu, Z Geng, H Zhou, R Fedkiw arXiv preprint arXiv:2006.04874, 2020 | 7 | 2020 |
| Image face manipulation C Cao, S Tulyakov, Z Geng US Patent 11,055,514, 2021 | 6 | 2021 |
| Recovering geometric information with learned texture perturbations J Wu, Y Jin, Z Geng, H Zhou, R Fedkiw arXiv preprint arXiv:2001.07253, 2020 | 4 | 2020 |
| Analytically integratable zero-restlength springs for capturing dynamic modes unrepresented by quasistatic neural networks Y Jin, Y Han, Z Geng, J Teran, R Fedkiw ACM SIGGRAPH 2022 Conference Proceedings, 1-9, 2022 | 1 | 2022 |
| Recovering geometric information with learned texture perturbations J Wu, Y Jin, Z Geng, H Zhou, R Fedkiw Proceedings of the ACM on Computer Graphics and Interactive Techniques 4 (3 …, 2021 | 1 | 2021 |
| Image face manipulation C Cao, S Tulyakov, Z Geng US Patent 11,798,261, 2023 | | 2023 |
| Predicting Popularity of Posts on Hacker News CS229 Autumn 2016 Project Final Report Z Geng, Y Yuan, C Wang | | |
| Depth Estimation from Single Image Using Convolutional Neural Networks X Ma, Z Geng, Z Bie | | |
