Xuan Ju Ph.D. Candidate Computer Science and Engineering The Chinese University of Hong Kong E-mail  /  CV  /  Google Scholar  /  Github

Biography

Hi, I'm Xuan Ju (鞠璇). I am currently a final-year Ph.D. student in the CURE Lab at The Chinese University of Hong Kong guided by Pro. Qiang Xu. Before this, I majored in Computer Science and Technology (minored in Mathematics and Applied Mathematics) and got my bachelor's degree from Tongji University.

I have a broad interest in most areas of computer vision, especially in image/video generation and multi-modal models. Please do not hesitate to reach out to me via email at [email protected] !

News

• [09/2025] We release a unified image/video editing/generation framework, EditVerse.
• [06/2025] FullDiT (a multi-task video generation model based on full-attention) is accepted to ICCV 2025, see you in Hawai'i!
• [05/2025] We are hosting the CVPR 2025 Workshop on Efficient and On-Device Generation (EDGE).
• [04/2025] Start an internship in Adobe Research with Soo Ye Kim and Zhe Lin.
• [04/2025] VideoPainter and Cobra are accepted to SIGGRAPH 2025.

Selected Publications

* equal contribution

	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. Under Review Project / arXiv / Code / Benchmark / Slides / Full Comparison
	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. International Conference on Computer Vision (ICCV), 2025 Project / arXiv / Video / Data
	Teletubbies: On Design Choices of Scaling Autoregressive Models for Image Generation Yushi Hu*, Xuan Ju*, Xu Ma*, Yujun Shi*, Xiaoliang Dai, Peizhao Zhang, Jialiang Wang, Ji Hou, Yen-Cheng Liu, Haochen Zhang, Tao Xu, Felix Juefei-Xu, Ching-Yao Chuang, Zecheng He, Junjiao Tian, Tingbo Hou, Peter Vajda, Qiang Xu, Yun Fu, Vincent Y. F. Tan, Mari Ostendorf, Noah A. Smith, Zijian He, Sam Tsai, Kunpeng Li, Chih-Yao Ma.
	MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions Xuan Ju*, Yiming Gao*, Zhaoyang Zhang*, Ziyang Yuan, Xintao Wang, Ailing Zeng, Yu Xiong, Qiang Xu, Ying Shan. Conference on Neural Information Processing Systems (NeurIPS), 2024 Project / arXiv / Video / Code / Data
	BrushNet : A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion Xuan Ju, Xian Liu, Xiantao Wang, Yuxuan Bian, Ying Shan, Qiang Xu. European Conference on Computer Vision (ECCV), 2024 Project / arXiv / Video / Code / Data
	Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code Xuan Ju, Ailing Zeng, Yuxuan Bian, Shaoteng Liu, Qiang Xu. International Conference on Learning Representations (ICLR), 2024 Project / arXiv / Video / Code / Data
	HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation Xuan Ju*, Ailing Zeng*, Chenchen Zhao*, Jianan Wang, Lei Zhang, Qiang Xu. IEEE/CVF International Conference on Computer Vision (ICCV), 2023 (Oral, Top 1.8%) Project / arXiv / Video / Code / Data
	Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes Xuan Ju*, Ailing Zeng*, Jianan Wang, Qiang Xu, Lei Zhang. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Project / arXiv / Video / Code / Data
	Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning Yuxuan Bian*, Xuan Ju*, Jiangtong Li*, Zhijian Xu, Dawei Cheng, Qiang Xu. International Conference on Machine Learning (ICML), 2024 arXiv

Experiences

	Research Intern, Adobe Research Topic: Multimodal Video Generation Supervised by: Soo Ye Kim and Zhe Lin
	Research Intern, Kuaishou Kling Topic: Multimodal Video Generation Supervised by: Xintao Wang
	Research Intern, Meta GenAI Topic: Multimodal Image Generation Supervised by: Kevin Chih-Yao Ma
	Research Intern, Tencent ARC Laboratory Topic: Image Inpainting, Video Generation Supervised by: Xintao Wang, Ying Shan
	Research Intern, International Digital Economy Academy (IDEA) CVR Laboratory Topic: Human-Centric Image Generation Supervised by: Ailing Zeng, Lei Zhang
	Research Intern, X-Lab, SenseTime Research Topic: Human Pose Estimation Supervised by: Lei Yang

Professional Services

• Conference Reviewer for ICLR (2025), ECCV(2024), IJCV(2024), CVPR (2024, 2025), ICCV (2023), NeurIPS (2023, 2024), AAAI (2024), AISTATS (2025), ACCV (2024), WACV (2025).
• Organize CVPR 2025 workshop: 2nd Workshop on Efficient and On-Device Generation (EDGE).

Selected Honors & Awards

• National Scholarship
  2020, 2021
• Outstanding Graduate of Shanghai Province
  2022
• Qidi Scholarship
  2022
• First Prize in "Challenge Cup" National College Students Contest
  2022

Teaching Experience

• CSCI 1120, Introduction to Computing Using C++
  Fall 2023
• CSCI 1520, Computer Principles and C++ Programming
  Spring 2022
• CSCI 1540, Fundamental Computing with C++
  Fall 2022