Shen Sang (桑燊)
I am a senior research scientist, with a primary focus on virtual human and GenAI, at the Intelligent Creation Lab, TikTok.
I received my master's degree from UC San Diego. I was fortunate to work with Prof. Manmohan Chandraker at the Visual Computing Center.
Github  / 
Google Scholar  / 
LinkedIn
Please feel free to contact me by email: shen.sang[at]bytedance[dot]com
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Research
I work on avatar creation, focusing on many aspects of diffusion models now. My current interests include diffusion model personalization (see TikTok AI Moji, TikTok AI Self and TikTok AI Avatars) and training and inference efficiency of diffusion models. Previously, I also worked on 3D vision and graphics, particularly in 3D reconstruction and neural relighting.
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ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs
Jiteng Mu,
Shen Sang,
Nuno Vasconcelos,
Xiaolong Wang
ICCV, 2023
arXiv
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AgileAvatar: Stylized 3D Avatar Creation via Cascaded Domain Bridging
Shen Sang,
Tiancheng Zhi,
Guoxian Song,
Minghao Liu,
Chunpong Lai,
Jing Liu,
Xiang Wen,
James Davis,
Linjie Luo
SIGGRAPH Asia, 2022
arXiv /
paper /
bibtex
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OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets
Zhengqin Li,
Ting-Wei Yu,
Shen Sang,
Sarah Wang,
Meng Song,
Yuhan Liu,
Yu-Ying Yeh,
Rui Zhu,
Nitesh Gundavarapu,
Jia Shi,
Sai Bi,
Zexiang Xu,
Hong-Xing Yu,
Kalyan Sunkavalli,
Miloš Hašan,
Ravi Ramamoorthi,
Manmohan Chandraker
CVPR, 2021   (Oral Presentation)
paper
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Single-Shot Neural Relighting and SVBRDF Estimation
Shen Sang,
Manmohan Chandraker
ECCV, 2020
paper /
bibtex
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Service
Paper review for: CVPR 2024, AAAI 2024, SIGGRAPH Asia 2023, ICCV 2023, CVPR 2023, ICLR 2023, AAAI 2023, TMM, C&G
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