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Wen Wang

Ph.D. Student
Zhejiang University
wwenxyz (at) zju.edu.cn


About Me

Hi there! My name is Wen Wang (王文 in Chinese). I’m currently a Ph.D. student advised by Prof. Chunhua Shen at Zhejiang University, pursuing a Ph.D. in Computer Science. Prior to my doctoral studies, I obtained my master’s degree from the University of Science and Technology of China in 2022, fortunately supervised by Prof. Yang Cao.

Research Interests

Publications

    Multimodal Generation
  1. Framer: Interactive Frame Interpolation
    Wen Wang, Qiuyu Wang, Kecheng Zheng, Hao Ouyang, Zhekai Chen, Biao Gong, Hao Chen, Yujun Shen, Chunhua Shen
    The 13th International Conference on Learning Representations (ICLR), 2025.
    PDF Project Page
    GitHub Stars
  2. AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort
    Wen Wang, Canyu Zhao, Hao Chen, Zhekai Chen, Kecheng Zheng, and Chunhua Shen
    International Journal of Computer Vision (IJCV), 2024.
    PDF Project Page
    GitHub Stars
  3. Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Model
    Wen Wang, Kangyang Xie, Zide Liu, Hao Chen, Yue Cao, Xinlong Wang, and Chunhua Shen
    Arxiv, 2023.
    PDF Citations: 100+
    GitHub Stars
  4. FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior
    Zhekai Chen*, Wen Wang*, Zhen Yang, Zeqing Yuan, Hao Chen, Chunhua Shen (* denotes equal contribution)
    European Conference on Computer Vision (ECCV), 2024.
    PDF Code Project Page
    GitHub Stars
  5. FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition
    Ganggui Ding*, Canyu Zhao*, Wen Wang*, Zhen Yang, Zide Liu, Hao Chen, Chunhua Shen (* denotes equal contribution)
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
    PDF Code
    GitHub Stars
  6. MagicQuill: An Intelligent Interactive Image Editing System
    Zichen Liu, Yue Yu, Hao Ouyang, Qiuyu Wang, Ka Leong Cheng, Wen Wang, Zhiheng Liu, Qifeng Chen, Yujun Shen
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    PDF Project Page
    GitHub Stars
    7. Show More
  7. Object-aware Inversion and Reassembly for Image Editing
    Zhen Yang, Ganggui Ding, Wen Wang, Hao Chen, Bohan Zhuang, Chunhua Shen
    The 12th International Conference on Learning Representations (ICLR), 2024.
    PDF Project Page
    GitHub Stars
  8. AniDoc: Animation Creation Made Easier
    Yihao Meng, Hao Ouyang, Hanlin Wang, Qiuyu Wang, Wen Wang, Ka Leong Cheng, Zhiheng Liu, Yujun Shen, Huamin Qu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    PDF Project Page
    GitHub Stars
  9. LeviTor: 3D Trajectory Oriented Image-to-Video Synthesis
    Hanlin Wang, Hao Ouyang, Qiuyu Wang, Wen Wang, Ka Leong Cheng, Qifeng Chen, Yujun Shen, Limin Wang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    PDF Project Page
    GitHub Stars
  10. Moviebench: A Hierarchical Movie Level Dataset for Long Video Generation
    Weijia Wu, Mingyu Liu, Zeyu Zhu, Xi Xia, Haoen Feng, Wen Wang, Kevin Qinghong Lin, Chunhua Shen, Mike Zheng Shou
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    PDF Project Page
    GitHub Stars

    11. Multimodal Understanding
  11. EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
    Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Yu Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, and Yue Cao
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
    PDF Citations: 800+
    GitHub Stars
  12. Images Speak in Images: A Generalist Painter for In-Context Visual Learning
    Xinlong Wang*, Wen Wang*, Yue Cao*, Chunhua Shen, and Tiejun Huang (* denotes equal contribution)
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
    PDF Citations: 300+
    GitHub Stars
  13. Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers
    Wen Wang, Yang Cao, Jing Zhang, Fengxiang He, Zhengjun Zha, Yonggang Wen, and Dacheng Tao
    The 29th ACM International Conference on Multimedia (ACM MM), 2021.
    PDF Citations: 100+
    GitHub Stars
  14. Towards Data-Efficient Detection Transformers
    Wen Wang, Jing Zhang, Yang Cao, Yongliang Shen, and Dacheng Tao
    European Conference on Computer Vision (ECCV), 2022.
    PDF
    GitHub Stars
  15. FP-DETR: Detection Transformer Advanced by Fully Pre-training
    Wen Wang, Yang Cao, Jing Zhang, and Dacheng Tao
    The 10th International Conference on Learning Representations (ICLR), 2022.
    PDF
    GitHub Stars
  16. Robust Object Detection via Adversarial Novel Style Exploration
    Wen Wang, Jing Zhang, Wei Zhai, Yang Cao, and Dacheng Tao
    IEEE Transactions on Image Processing (TIP), 2022.
    PDF
    17. Show More
  17. Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
    Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang, Weiming Lu
    Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics, (ACL) 2021.
    PDF Citations: 200+
    GitHub Stars
  18. SegGPT: Segmenting Everything In Context
    Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang
    IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
    PDF Citations: 300+
    GitHub Stars
  19. CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal Pose
    Xu Zhang, Wen Wang, Zhe Chen, Yufei Xu, Jing Zhang, Dacheng Tao
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    PDF
    GitHub Stars
  20. Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
    Hao Zhong, Muzhi Zhu, Zongze Du, Zheng Huang, Canyu Zhao, Mingyu Liu, Wen Wang, Hao Chen, and Chunhua Shen
    (Under Review)
    PDF Project Page
    GitHub Stars

Experiences

Research Intern at Ant Research
Apr. 2023 - Now
Led by: Yujun Shen
Working closely with Qiuyu Wang, Hao Ouyang, and Kecheng Zheng
Research Intern at Beijing Academy of Artificial Intelligence
Jun. 2022 - Mar. 2023
Mentors: Xinlong Wang, Yue Cao
Research Intern at JD Explore Academy
Dec. 2020 - Mar. 2022
Mentors: Jing Zhang, Dacheng Tao


Professional Activities

Conference Reviewers

Journal Reviewers