Haotian Yang | 杨皓天
yanght321@gmail.com

I'm currently a research engineer at Kuaishou Technology, working on exciting projects related to visual content creation. Before joining Kuaishou, I received the M.S. degree (under the supervision of Xun Cao and Hao Zhu) and B.S. degree from Nanjing University, in 2021 and 2018 respectively.

My research interests lie in computer vision and computer graphics, including deep generative models, video generation and editing, human digitization, and 3D vision.

We are looking for self-motivated interns specializing in video synthesis and editing. Please feel free to contact me via email if you are interested.

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News


Publications

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VideoTetris: Towards Compositional Text-To-Video Generation
Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Jingmin Chen, Xintao Wang, Zhaochen Yu, Pengfei Wan, Di Zhang, Bin Cui
NeurIPS 2024

arxiv / project page / code / bibtex 
                  @article{tian2024videotetris,
                    title={VideoTetris: Towards Compositional Text-to-Video Generation},
                    author={Tian, Ye and Yang, Ling and Yang, Haotian and Gao, Yuan and Deng, Yufan and Chen, Jingmin and Wang, Xintao and Yu, Zhaochen and Tao, Xin and Wan, Pengfei and Zhang, Di and Cui, Bin},
                    journal={arXiv preprint arXiv:2406.04277},
                    year={2024}
                  }
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VRMM: A Volumetric Relightable Morphable Head Model
Haotian Yang, Mingwu Zheng, Chongyang Ma, Yu-Kun Lai, Pengfei Wan, Haibin Huang
SIGGRAPH 2024 (Conference)

arxiv / project page / bibtex 
              @inproceedings{yang2024vrmm,
                title={VRMM: A Volumetric Relightable Morphable Head Model},
                author={Haotian, Yang and Mingwu, Zheng and ChongYang, Ma and Yu-Kun, Lai and Pengfei, Wan and Haibin, Huang},
                booktitle={SIGGRAPH 2024 Conference Proceedings},
                year={2024}
            }
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Towards Practical Capture of High-Fidelity Relightable Avatars
Haotian Yang, Mingwu Zheng, Wanquan Feng, Haibin Huang, Yu-Kun Lai, Pengfei Wan, Zhongyuan Wang, Chongyang Ma
SIGGRAPH Asia 2023 (Conference)

arxiv / project page / bibtex 
              @inproceedings{yang2023towards,
                title={Towards Practical Capture of High-Fidelity Relightable Avatars},
                author={Yang, Haotian and Zheng, Mingwu and Feng, Wanquan and Huang, Haibin and Lai, Yu-Kun and Wan, Pengfei and Wang, Zhongyuan and Ma, Chongyang},
                booktitle={SIGGRAPH Asia 2023 Conference Proceedings},
                year={2023}
            }
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Facescape: 3d facial dataset and benchmark for single-view 3d face reconstruction
Hao Zhu*, Haotian Yang*, Longwei Guo, Yidi Zhang, Yanru Wang, Mingkai Huang, Menghua Wu, Qiu Shen, Ruigang Yang, Xun Cao
TPAMI 2023

arxiv / code / bibtex 
              @article{zhu2023facescape,
                title={Facescape: 3d facial dataset and benchmark for single-view 3d face reconstruction},
                author={Zhu, Hao and Yang, Haotian and Guo, Longwei and Zhang, Yidi and Wang, Yanru and Huang, Mingkai and Wu, Menghua and Shen, Qiu and Yang, Ruigang and Cao, Xun},
                journal={IEEE transactions on pattern analysis and machine intelligence},
                year={2023},
                publisher={IEEE}
              }
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Detailed facial geometry recovery from multi-view images by learning an implicit function
Yunze Xiao*, Hao Zhu*, Haotian Yang, Zhengyu Diao, Xiangju Lu, Xun Cao
AAAI 2022 Oral

arxiv / code / bibtex 
              @InProceedings{xiao2022detailed,
                author = {Xiao, Yunze and Zhu, Hao and Yang, Haotian and Diao, Zhengyu and Lu, Xiangju and Cao, Xun},
                title = {Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function},
                booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
                year = {2022}
                }
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Detailed avatar recovery from single image
Hao Zhu, Xinxin Zuo, Haotian Yang, Sen Wang, Xun Cao, Ruigang Yang
TPAMI 2021

arxiv / code / bibtex 
              @article{zhu2021detailed,
                title={Detailed avatar recovery from single image},
                author={Zhu, Hao and Zuo, Xinxin and Yang, Haotian and Wang, Sen and Cao, Xun and Yang, Ruigang},
                journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
                volume={44},
                number={11},
                pages={7363--7379},
                year={2021},
                publisher={IEEE}
              }
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Facescape: a large-scale high quality 3d face dataset and detailed riggable 3d face prediction
Haotian Yang*, Hao Zhu*, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, Xun Cao
CVPR 2020

arxiv / code / bibtex 
              @inproceedings{yang2020facescape,
                author = {Yang, Haotian and Zhu, Hao and Wang, Yanru and Huang, Mingkai and Shen, Qiu and Yang, Ruigang and Cao, Xun},
                title = {FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction},
                booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
                month = {June},
                year = {2020},
                page = {601--610}}

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