Zhengxiong Luo | ByteDance Seed

About Me

I received my bachelor’s degree in Mechanical Engineering from Shanghai Jiao Tong University (SJTU) and my Ph.D. from the Institute of Automation, Chinese Academy of Sciences (CASIA). From July 2023 to February 2025, I worked as a full-time researcher at the Beijing Academy of Artificial Intelligence (BAAI). I am currently a full-time researcher at ByteDance Seed.

Research Interests

My current research focuses on unifying multimodal generation and understanding. My previous work has covered human pose estimation, low-level vision tasks, and video generation.

Selected Publications

Chao Liao, Liyang Liu, Xun Wang, Zhengxiong Luo, Xinyu Zhang, Wenliang Zhao, Jie Wu, Liang Li, Zhi Tian, Weilin Huang Mogao: An omni foundation model for interleaved multi-modal generation, arXiv preprint arXiv:2505.05472.
Xinlong Wang, Xiaosong Zhang, Zhengxiong Luo, Quan Sun, Yufeng Cui, Jinsheng Wang, Fan Zhang, Yueze Wang, Zhen Li, Qiying Yu, Yingli Zhao, Yulong Ao, Xuebin Min, Tao Li, Boya Wu, Bo Zhao, Bowen Zhang, Liangdong Wang, Guang Liu, Zheqi He, Xi Yang, Jingjing Liu, Yonghua Lin, Tiejun Huang, Zhongyuan Wang Emu3: Next-Token Prediction is All You Need, arXiv preprint arXiv:2409.18869.
Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan, End-to-End Alternating Optimization for Real-World Blind Super Resolution, International Journal of Computer Vision (IJCV), 2023, volume 131, pp. 3152-3169.
Zhengxiong Luo, Dayou Chen, Yingya Zhang, Yan Huang, Liang Wang, Yujun Shen, Deli Zhao, Jinren Zhou, Tieniu Tan, VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 10209-10218.
Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan, Learning the Degradation Distribution for Deep Blind Super Resolution, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 6063-6072.
Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai, Guan Wang, Yan Huang, Liang Wang, Tieniu Tan, Jian Sun, Efficient Human Pose Estimation by Learning Deeply Aggregated Representations, IEEE International Conference on Multimedia and Expo (ICME) 2021, pp. 1-6.
Zhengxiong Luo, Zhicheng Wang, Yan Huang, Liang Wang, Tieniu Tan, Erjin Zhou, Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 13264-13273.
Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan, Unfolding the Alternating Optimization for Blind Super Resolution, Advances in Neural Information Processing Systems (NeurIPS), 2020, volume 33, pp. 5632-5643.