Kairun Wen

According to our database, Kairun Wen authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Thinking in Dynamics: How Multimodal Large Language Models Perceive, Track, and Reason Dynamics in Physical 4D World.

Yuzhi Huang, Kairun Wen, Rongxin Gao, Dongxuan Liu, Yibin Lou, Jie Wu, Jing Xu, Jian Zhang, Zheng Yang, Yunlong Lin, Chenxin Li, Panwang Pan, Junbin Lu, Jingyan Jiang, Xinghao Ding, Yue Huang, Zhi Wang

CoRR, March, 2026

2025

DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling.

Kairun Wen, Yuzhi Huang, Runyu Chen, Hui Zheng, Yunlong Lin, Panwang Pan, Chenxin Li, Wenyan Cong, Jian Zhang, Junbin Lu, Chenguo Lin, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Yue Huang, Xinghao Ding, Rakesh Ranjan, Zhiwen Fan

CoRR, December, 2025

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models.

Panwang Pan, Chenguo Lin, Jingjing Zhao, Chenxin Li, Yuchen Lin, Haopeng Li, Honglei Yan, Kairun Wen, Yunlong Lin, Yixuan Yuan, Yadong Mu

CoRR, November, 2025

DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling.

Kairun Wen, Yuzhi Huang, Runyu Chen, Hui Zheng, Yunlong Lin, Panwang Pan, Chenxin Li, Wenyan Cong, Jian Jun Zhang, Junbin Lu, Chenguo Lin, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Yue Huang, Xinghao Ding, Rakesh Ranjan, Zhiwen Fan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

HumanCrafter: Synergizing Generalizable Human Reconstruction and Semantic 3D Segmentation.

Panwang Pan, Tingting Shen, Chenxin Li, Yunlong Lin, Kairun Wen, Jingjing Zhao, Yixuan Yuan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration.

Yunlong Lin, Zixu Lin, Haoyu Chen, Panwang Pan, Chenxin Li, Sixiang Chen, Kairun Wen, Yeying Jin, Wenbo Li, Xinghao Ding

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors.

Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Chui Kong, Yue Huang, Xiaotong Tu, Xinghao Ding

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Large Spatial Model: End-to-end Unposed Images to Semantic 3D.

Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone, Yue Wang

CoRR, 2024

Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors.

Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Yue Huang, Xiaotong Tu, Xinghao Ding

CoRR, 2024

InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds.

Zhiwen Fan, Wenyan Cong, Kairun Wen, Kevin Wang, Jian Zhang, Xinghao Ding, Danfei Xu, Boris Ivanovic, Marco Pavone, Georgios Pavlakos, Zhangyang Wang, Yue Wang

CoRR, 2024

Large Spatial Model: End-to-end Unposed Images to Semantic 3D.

Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS.

Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

A least squares twin support vector machine method with uncertain data.

Yanshan Xiao, Jinneng Liu, Kairun Wen, Bo Liu, Liang Zhao, Xiangjun Kong

Appl. Intell., May, 2023

2022

Multi-task manifold learning for partial label learning.

Liang Zhao, Yanshan Xiao, Kairun Wen, Bo Liu, Xiangjun Kong

Inf. Sci., 2022