 |
Tiancheng Zhi
Research Scientist at ByteDance |
About Me
- I'm a senior research scientist at ByteDance Intelligent Creation Lab.
- Before joining ByteDance, I was a PhD student at Computer Science Department, Carnegie Mellon University, co-advised by Prof. Srinivasa Narasimhan and Prof. Martial Hebert.
- Prior to coming to CMU, I earned my B.S. Degree from School of EECS, Peking University in 2016, under the supervision of Prof. Ling-Yu Duan.
- My research interest lies at the intersection of computer vision and computer graphics. Currently I mainly focus on creating personalized and artistic images and videos with generative models.
- I am hiring interns. Please email me if you are interested.
Products
 |
TikTok AI-Moji, 2024 Cartoonish avatar stickers with expressive expressions |
 |
TikTok AI Self, 2024 Create personalized photorealistic portraits with free prompting |
 |
Qingyan AI Photo (轻颜AI写真), 2023 Create personalized photorealistic portraits in 20 minutes, with 5-20 images |
 |
TikTok AI Avatar, 2023 Create AIGC profile pictures from 3-10 photos in minutes |
 |
TikTok AI Portrait, 2022 Sticker effect creating AIGC portrait in seconds with one single selfie |
 |
TikTok Avatar, 2022 Personalized 3D avatar with realtime expression tracking |
Selected Publications
 |
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection Jinqi Xiao, Shen Sang, Tiancheng Zhi, Jing Liu, Qing Yan, Linjie Luo, Bo Yuan IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [arXiv] [Project] |
 |
ID-Patch: Robust ID Association for Group Photo Personalization Yimeng Zhang, Tiancheng Zhi, Jing Liu, Shen Sang, Liming Jiang, Qing Yan, Sijia Liu, Linjie Luo IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [arXiv] [Project] |
 |
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 ACM SIGGRAPH Asia Conference (SIGGRAPH Asia Conference Track), 2022. [Paper] |
 |
Learning Continuous Implicit Representation for Near-Periodic Patterns Bowei Chen, Tiancheng Zhi, Martial Hebert, Srinivasa G. Narasimhan European Conference on Computer Vision (ECCV), 2022. [Paper] [Code] |
 |
Semantically Supervised Appearance Decomposition for Virtual Staging from a Single Panorama Tiancheng Zhi, Bowei Chen, Ivaylo Boyadzhiev, Sing Bing Kang, Martial Hebert, Srinivasa G. Narasimhan ACM Transactions on Graphics (SIGGRAPH Journal Track), 2022. [Paper] [Project] [Code] |
 |
TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa G. Narasimhan, Minh Vo European Conference on Computer Vision (ECCV), 2020. [Paper] [Project] [Talk] [Data (please contact Minh Vo)] |
 |
Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, Srinivasa G. Narasimhan IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Oral Presentation [Paper] [Project] [Code] [SWIRPowder Dataset] [Supp] [Talk] [Poster] |
 |
Deep Material-aware Cross-spectral Stereo Matching Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, Srinivasa G. Narasimhan IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [Paper] [Project] [Code(v2)] [PittsStereo Dataset] [Supp] [Video] [Poster] |