Featured
who we are
Tencent Games AI Research Center (TGAIRC) is an AI research and application institute under Common R&D and Operation System (CROS) in Tencent Games. Our mission is to improve game development efficiency and quality based on AI methods and other new technologies.
Research field
Our current interests includes AI applications in intelligent agent control, digital content creation and simulation. Based on these brand new data driven methods, game developers can build realistic world at large scale, create vivid character with life-like interaction and increase their current pipeline's efficiency.
Our AI based applications can be found in multiple games such as QQ speed mobile, Happy Poker,PUBG MOBILE and so on. Working together with other teams in CROS such as game engine and motion capture studio, we can help game developer by providing cutting-edge technologies and toolkits. Let's bring the future into the present and make it real!
Publications
2021
Revisiting Integration in the Material Point Method: A Scheme for Easier Separation and Less Dissipation
Yun (Raymond) Fei, Qi Guo, Rundong Wu, Li Huang, and Ming Gao
ACM Transactions on Graphics (TOG) 40, no. 4 (2021): 1-16
Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
Yu Cheng, Bo Wang, Bo Yang, and Robby T. Tan
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
Yu Cheng, Bo Wang, Bo Yang, and Robby T. Tan.
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2021
Deep Optimized Priors for 3D Shape Modeling and Reconstruction
Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Equivariant Point Network for 3D Point Cloud Analysis
Haiwei Chen, Shichen Liu, Weikai Chen, Hao Li
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction
Yuda Qiu, Xiaojie Xu, Linteng Qiu, Yan Pan, Yushuang Wu, Weikai Chen, Xiaoguang Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
2020
3d human pose estimation using spatio-temporal networks with explicit occlusion training
Yu Cheng, Bo Yang, Bo Wang, and Robby T. Tan
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2020
Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images
Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du, Zhangye Wang, Shuguang Cui, Xiaoguang Han
European Conference on Computer Vision (ECCV), 2020, Oral Presentation
A General Differentiable Mesh Renderer for Image-based 3D Reasoning
Shichen Liu, Tianye Li, Weikai Chen, Hao Li
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Intuitive, Interactive Beard and Hair Synthesis with Generative Models
Kyle Olszewski, Duygu Ceylan, Jun Xing, Jose I. Echevarria, Zhili Chen, Weikai Chen, Hao Li
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Oral Presentation
Organic Open-cell Porous Structure Modeling
Lihao Tian, Lin Lu, Weikai Chen, Yang Xia, Charlie C. L. Wang and Wenping Wang
ACM Symposium on Computational Fabrication (ACM SCF), 2020
Hyperspectral Inverse Skinning
Liu, Songrun and Tan, Jianchao and Deng, Zhigang and Gingold, Yotam
Computer Graphics Forum, 39(6), 2020
Weavecraft: an interactive design and simulation tool for 3D weaving
Rundong Wu, Joy Xiaoji Zhang, Jonathan Leaf, Xinru Hua, Ante Qu, Claire Harvey, Emily Holtzman, Joy Ko, Brooks Hagan, Doug James, François Guimbretière, Steve Marschner.
ACM Transactions on Graphics (TOG) 39(6), 2020
Hierarchical optimization time integration for cfl-rate mpm stepping
Wang, Xinlei and Li, Minchen and Fang, Yu and Zhang, Xinxin and Gao, Ming and Tang, Min and Kaufman, Danny M and Jiang, Chenfanfu
ACM Transactions on Graphics (TOG) 39(3), 2020
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
Kiwon Um, Robert Brand, Yun Fei, Philipp Holl, Nils Thuerey
In the Proceedings of Neural Information Processing Systems (NeurIPS) 2020
2019
Occlusion-Aware Networks for 3D Human Pose Estimation in Video
Yu Cheng, Bo Yang, Bo Wang, Wending Yan, and Robby T. Tan
In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). 2019
Learning to Infer Implicit Surfaces without 3D Supervision
Shichen Liu, Shunsuke Saito, Weikai Chen, Hao Li
Neural Information Processing Systems (NeurIPS), 2019
Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning
Shichen Liu, Tianye Li, Weikai Chen, Hao Li
International Conference on Computer Vision (ICCV), 2019, Oral Presentation
Learning Perspective Undistortion of Portraits
Yajie Zhao, Zeng Huang, Tianye Li, Weikai Chen, Chloe LeGendre, Xinglei Ren, Ari Shapiro, Hao Li
International Conference on Computer Vision (ICCV), 2019, Oral Presentation
Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks
Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, Kui Jia
International Conference on Computer Vision (ICCV), 2019
HairBrush for Immersive Data-Driven Hair Modeling
Jun Xing, Koki Nagano, Weikai Chen, Haotian Xu, Li-Yi Wei, Jingwan Lu, Byungmoon Kim, Yajie Zhao, Hao Li
ACM Symposium on User Interface Software and Technology (UIST), 2019