nnli@bu.edu
I'm a Ph.D. student in the Image and Video Computing group at Boston Univerisity. My advisor is Prof. Bryan A. Plummer. I'm interested in generative AI and human image editing. Prior to BU, I received my Master's Degree at Wuhan University, where my advisor was Zhenzhong Chen.
Work Experience
May 2023 - Nov 2023, Research Intern @ Adobe
Worked on diffusion-based human image editing as a research intern. The goal is to build a unified framework that can achieve reposing, virtual tryon, and text manipulation simultaneously. We collected 40K in-the-wild single human images for large-scale model training. The resulting paper UniHuman: A Unified Model for Editing Human Images in the Wild is accepted by CVPR 2024.
Publications
- Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling
Nannan Li, Kevin J. Shih and Bryan A. Plummer.
Submitted to ICLR, 2025
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PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance
Aoming Liu, Zhong Li, Zhang Chen, \textbf{Nannan Li}, Yi Xu, and Bryan A. Plummer.
In ECCV, 2024.
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UniHuman: A Unified Model for Editing Human Images in the Wild.
Nannan Li, Qing Liu, Krishna Kumar Singh, Yilin Wang, Jianming Zhang, Bryan A. Plummer and Zhe Lin
In CVPR, 2024.
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Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer By Permuting Textures.
Nannan Li, Kevin J. Shih and Bryan A. Plummer.
In ICCV, 2023.
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Supervised Attribute Information Removal and Reconstruction for Image Manipulation.
Nannan Li and Bryan A. Plummer.
In ECCV, 2022.
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Towards Visual Distortion in Black-Box Attacks.
Nannan Li and Zhenzhong Chen.
In IEEE Transactions on Image Processing (TIP).
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Meta Learning for Image Captioning.
Nannan Li, Zhenzhong Chen and Shan Liu.
In AAAI, 2019.
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Image Captioning with Visual-Semantic LSTM.
Nannan Li and Zhenzhong Chen.
In IJCAI, 2018.
Education
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2021 - Present, PhD Student@Boston University
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2018 - 2021, Master's Degree@Wuhan University
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2014 - 2018, Bachelor Degree@Wuhan University