Pengfei Wan

I lead the Kling models and data team (aka the Kling Team). I was the head of the AI department (MT Lab) at Meitu. I received my Ph.D. at the ECE Dept. of HKUST and my B.E. at the EEIS Dept. of USTC.

The Kling Team is building multimodal world models to advance digital and physical intelligence, with applications ranging from video creation to robotics. Our work spans, but is not limited to:

Multimodal Understanding & Reasoning
Multimodal Generation & Interaction
Embodied AI & Robot Learning

We are looking for exceptional talent to join our team. Feel free to reach out!

Technology

I'm interested in computer vision and graphics, embodied AI, and multimodal machine learning.

Selected Publications

Native Spatio-Temporal 4D Variational Autoencoder
Lihe Ding, Weicai Ye, Shaocong Dong, Xintao Wang, Pengfei Wan, Kun Gai, Tianfan Xue
ICML, 2026

Stable Velocity: A Variance Perspective on Flow Matching
Donglin Yang, Yongxing Zhang, Xin Yu, Liang Hou, Xin Tao, Pengfei Wan, Xiaojuan Qi, Renjie Liao
ICML, 2026

SegTune: Structured and Fine-Grained Control for Song Generation
Yuejiao Wang, Zihao Ji, Pengfei Cai, Xu Li, Haorui Zheng, Zewen Song, Zhongliang Liu, Chen Zhang, Pengfei Wan
ACL Oral, 2026

Monet: Reasoning in Latent Visual Space Beyond Image and Language
Qixun Wang, Yang Shi, Yifei Wang, Yuanxing Zhang, Pengfei Wan, Kun Gai, Xianghua Ying, Yisen Wang
CVPR, 2026

Visual-Aware CoT: Achieving High-Fidelity Visual Consistency in Unified Models
Zixuan Ye, Quande Liu, Cong Wei, Yuanxing Zhang, Xintao Wang, Pengfei Wan, Kun Gai, Wenhan Luo
CVPR, 2026

Mitigating Noise Shift in Denoising Generative Models with Noise Awareness Guidance
Jincheng Zhong, Boyuan Jiang, Xin Tao, Pengfei Wan, Kun Gai, Mingsheng Long
ICLR, 2026

Latent Diffusion Model without Variational Autoencoder
Minglei Shi, Haolin Wang, Wenzhao Zheng, Ziyang Yuan, Xiaoshi Wu, Xintao Wang, Pengfei Wan, Jie Zhou, Jiwen Lu
ICLR, 2026

UniVideo: Unified Understanding, Generation, and Editing for Videos
Cong Wei, Quande Liu, Zixuan Ye, Qiulin Wang, Xintao Wang, Pengfei Wan, Kun Gai, Wenhu Chen
ICLR, 2026

Flow-GRPO: Training Flow Matching Models via Online RL
Jie Liu, Gongye Liu, Jiajun Liang, Yangguang Li, Jiaheng Liu, Xintao Wang, Pengfei Wan, Di Zhang, Wanli Ouyang
NeurIPS, 2025

OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers
Ziqiao Peng, Jiwen Liu, Haoxian Zhang, Xiaoqiang Liu, Songlin Tang, Pengfei Wan, Di Zhang, Hongyan Liu, Jun He
NeurIPS Spotlight, 2025

Context as Memory: Scene-consistent Interactive Long Video Generation with Memory Retrieval
Jiwen Yu, Jianhong Bai, Yiran Qin, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Xihui Liu
SIGGRAPH Asia, 2025

FullDiT: Multi-Task Video Generative Foundation Model with Full Attention
Xuan Ju, Weicai Ye, Quande Liu, Qiulin Wang, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Qiang Xu
ICCV, 2025

ReCamMaster: Camera-Controlled Generative Rendering from a Single Video
Jianhong Bai, Menghan Xia, Xiao Fu, Xintao Wang, Lianrui Mu, Jinwen Cao, Zuozhu Liu, Haoji Hu, Xiang Bai, Pengfei Wan, Di Zhang
ICCV Oral, Best Paper Award Finalist, 2025

MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding
Zhicheng Zhang, Wuyou Xia, Chenxi Zhao, Yan Zhou, Xiaoqiang Liu, Yongjie Zhu, Wenyu Qin, Pengfei Wan, Di Zhang, Jufeng Yang
ICML Spotlight, 2025

DVIS++: Improved Decoupled Framework for Universal Video Segmentation
Tao Zhang, Xingye Tian, Yikang Zhou, Shunping Ji, Xuebo Wang, Xin Tao, Yuan Zhang, Pengfei Wan, Zhongyuan Wang, Yu Wu
TPAMI, 2025

Agent Attention: On the Integration of Softmax and Linear Attention
Dongchen Han, Tianzhu Ye, Yizeng Han, Zhuofan Xia, Siyuan Pan, Pengfei Wan, Shiji Song, Gao Huang
ECCV, 2024

I2V-Adapter: A General Image-to-Video Adapter for Diffusion Models
Xun Guo, Mingwu Zheng, Liang Hou, Yuan Gao, Yufan Deng, Pengfei Wan, Di Zhang, Yufan Liu, Weiming Hu, Zhengjun Zha, Haibin Huang, Chongyang Ma
SIGGRAPH, 2024

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

FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces
Mengfei Xia, Yezhi Shu, Yuji Wang, Yu-Kun Lai, Qiang Li, Pengfei Wan, Zhongyuan Wang, Yong-Jin Liu
AAAI Oral, 2023

Debiased Self-Training for Semi-Supervised Learning
Baixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang, Mingsheng Long
NeurIPS Oral, 2022

Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer
Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han
TPAMI, 2022

Miscellanea

Talks

Presentation on "An Introduction to Kling and Our Research towards More Powerful Video Generation Models", Tutorial Session: From Video Generation to World Model, CVPR, Nashville, 2025
Virtual panel discussion on "Video Generation Models", Project Odyssey AI Film Gala, San Francisco, 2024
Roundtable forum on "The Innovations and Challenges of the Next-generation Artificial Intelligence Architecture", Plenary Session: Scientific Frontier, World Artificial Intelligence Conference (WAIC), Shanghai, 2024
Presentation on "Kling Video Generation Models" & roundtable forum on "Multimodality, AGI, On-device AI", BAAI Conference, Beijing, 2024
Presentation on "Multimodal Digital Human: Technological Innovations and Industrial Applications", Opening Plenary, China Digital Human Conference, Beijing, 2024

Services

Reviewer for CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, ACL, etc.

Technology

Recent News

Selected Publications

Miscellanea

Talks

Services