Yonglong Tian

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Based in Cambridge, I am an Artificial Intelligence researcher at Google DeepMind. My main research interests lie in the intersection of machine perception, generation and reasoning, mainly from the perspective of vision.

Prior to that, I obtained my Ph.D. from MIT EECS in 2022, advised by Phillip Isola. Before that, I completed my M.Phil degree at CUHK, advised by Xiaoou Tang and Xiaogang Wang, and attended Tsinghua University for undergrad.

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Recent 5 Papers
Autoregressive Image Generation without Vector Quantization
Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He
arXiv 2024
Self-Correcting Self-Consuming Loops for Generative Model Training
Nate Gillman, Michael Freeman, Daksh Aggarwal, Chia-Hong Hsu, Calvin Luo, Yonglong Tian, Chen Sun
ICML 2024
Denoising Vision Transformers
Jiawei Yang, Katie Z Luo, Jiefeng Li, Kilian Q Weinberger, Yonglong Tian, Yue Wang
arXiv 2024
Learning Vision from Models Rivals Learning Vision from Data
Yonglong Tian*, Lijie Fan*, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola
CVPR 2024
Scaling Laws of Synthetic Images for Model Training ... for Now
Lijie Fan*, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian*,
CVPR 2024

Gem stolen from here