I am a Research Scientist at Adobe Research (A cute official chat 💬). I was previously an Assistant Professor in the Department of Computer Science, University of Bath.
During my study, I was fortunate to work with Zoya Bylinskii , Prof. Rynson W.H. Lau, Prof. Dahua Lin, Steve Lin , Prof. Hanspeter Pfister, and Zhirong Wu .
At Adobe, I initiated and led the instruction-based image editing research, which has been adopted in Adobe Products. And 30 patents have been filed/published until end of 2025.
My research lies in the areas of computer graphics, computer vision/machine learning, and human-computer interaction.
Recently I am interested in using data wisely for content generation & editing and data-driven graphic design. I am more focus on multi-modal control for customizing pixels, vectors, and 3D shapes.
We are actively looking for research interns. If you are interested in doing research project(s) at Adobe or remote collaboration with me, please drop me an email with your CV.
- SIGGRAPH Asia 2026, 2023 Paper Committee (AC)
- CVPR 2026 (Lead) Area Chair
- PG 2026 Poster Chair
- 3DV 2026 Area Chair
- SIGGRAPH 2025, 2024 Paper Committee (AC)
- CG&A Associate Editor
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Linear Image Generation by Synthesizing Exposure Brackets
Yuekun Dai, Zhoutong Zhang, Shangchen Zhou, Nanxuan Zhao
Computer Vision and Pattern Recognition (CVPR), 2026
Project (Coming Soon)
DuetSVG: Unified Multimodal SVG Generation with Internal Visual Guidance
Peiying Zhang, Nanxuan Zhao, Matthew Fisher, Yiran Xu, Jing Liao, Difan Liu
Computer Vision and Pattern Recognition (CVPR), 2026
Project
SemLayer: Semantic Generative Segmentation and Layer Reconstruction for Vector Icons
Haiyang Xu, Ronghuan Wu, Li-Yi Wei, Nanxuan Zhao, Chenxi Liu, Cuong Nguyen, Zhuowen Tu, Zhaowen Wang
Computer Vision and Pattern Recognition (CVPR), 2026
Project (Coming Soon)
Illustrator's Depth: Monocular Layer Index Prediction for Image Decomposition
Nissim Maruani, Peiying Zhang, Siddhartha Chaudhuri, Matthew Fisher, Nanxuan Zhao, Vladimir Kim, Pierre Alliez, Mathieu Desbrun, Wang Yifan
Computer Vision and Pattern Recognition (CVPR), 2026
Project (Coming Soon)
EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning
Xuan Ju, Tianyu Wang, Yuqian Zhou, He Zhang, Qing Liu, Nanxuan Zhao, Zhifei Zhang, Yijun Li, Yuanhao Cai, Shaoteng Liu, Daniil Pakhomov, Zhe Lin, Soo Ye Kim, Qiang Xu
International Conference on Learning Representations (ICLR), 2026 (Oral)
Project
Learning an Image Editing Model without Image Editing Pairs
Nupur Kumari, Sheng-Yu Wang, Nanxuan Zhao, Yotam Nitzan, Yuheng Li, Krishna Kumar Singh, Richard Zhang, Eli Shechtman, Jun-Yan Zhu, Xun Huang
International Conference on Learning Representations (ICLR), 2026
Project
Notational Animating: An Interactive Approach to Creating and Editing Animation Keyframes
Xinyu Shi, Li-Yi Wei, Nanxuan Zhao, Jian Zhao, Rubaiat Habib Kazi
ACM Conference on Human Factors in Computing Systems (CHI), 2026
Project
Rethinking Layered Graphic Design Generation with a Top-Down Approach
Jingye Chen, Zhaowen Wang, Nanxuan Zhao, Li Zhang, Difan Liu, Jimei Yang, Qifeng Chen
International Conference on Computer Vision (ICCV), 2025
Project arXiv Presentation
SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner
Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Nanxuan Zhao, Jing Shi, Tong Sun
Project arXiv (Tech Report)
UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics
Xi Chen, Zhifei Zhang, He Zhang, Yuqian Zhou, Soo Ye Kim, Qing Liu, Yijun Li, Jianming Zhang, Nanxuan Zhao, Yilin Wang, Hui Ding, Zhe Lin, Hengshuang Zhao
Computer Vision and Pattern Recognition (CVPR), 2025 (Highlight)
Project arXiv
GroupDiff: Diffusion-based Group Portrait Editing
Yuming Jiang, Nanxuan Zhao#, Qing Liu, Krishna kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu
European Conference on Computer Vision (ECCV), 2024
arXiv
On Mechanistic Knowledge Localization in Text-to-Image Generative Models
Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Ryan Rossi, Nanxuan Zhao, Vlad Morariu, Varun Manjunatha, Soheil Feizi
International Conference on Machine Learning (ICML), 2024
Project
IntrinsicDiffusion: Joint Intrinsic Layers From Latent Diffusion Models
Jundan Luo, Duygu Ceylan, Jae Shin Yoon, Nanxuan Zhao, Julien Philip, Anna Frühstück, Wenbin Li, Christian Richardt, Tuanfeng Wang
Siggraph 2024
Project
Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation
Mohammad Amin Shabani, Zhaowen Wang, Difan Liu, Nanxuan Zhao, Jimei Yang, Yasutaka Furukawa
Computer Vision and Pattern Recognition (CVPR), 2024
Project
Localizing and Editing Knowledge in Text-to-Image Generative Models
Samyadeep Basu, Nanxuan Zhao, Vlad Morariu, Soheil Feizi, Varun Manjunatha
International Conference on Learning Representations (ICLR) 2023
arXiv
FashionTex: Controllable Virtual Try-on with Text and Texture
Anran Lin, Nanxuan Zhao, Shuliang Ning, Yuda Qiu, Baoyuan Wang, Xiaoguang Han
SIGGRAPH 2023
arXiv
Neural Preset for Color Style Transfer
Zhanghan Ke, Yuhao Liu, Lei Zhu, Nanxuan Zhao, Rynson W.H. Lau
Computer Vision and Pattern Recognition (CVPR), 2023
arXiv Project Code Online Demo IOS App
