Xiefan Guo

Ph.D. Student @ Beihang University (BUAA)
Email: guoxiefan@gmail.com

I am a Ph.D. student at the School of Computer Science and Engineering, Beihang University (BUAA), supervised by Prof. Di Huang. My research interests focus on Computer Vision, Generative AI, and Diffusion models.

Before that, I received my master degree from the School of Computer Science and Engineering, Beihang University (BUAA), China, in Jan. 2023 and B.E degree from the College of Intelligence and Computing, Tianjin University (TJU), China, in Jul. 2020. I interned at Shanghai AI Laboratory, Alibaba TongYi Lab and Alibaba DAMO Academy.

News [more]
  • 2025.06: Our paper, titled “ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning” is accepted by ICCV 2025.
  • 2025.02: Our paper, titled “Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models” is accepted by CVPR 2025.
Selected Publications

See the full list on my Google Scholar.

ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning
Xiefan Guo, Miaomiao Cui, Liefeng Bo, and Di Huang
In: The 20th IEEE International Conference on Computer Vision (ICCV), Oct. 19-23, 2025, Hawaii, USA
[Paper] [arXiv] [Code] [Project] [Slide] [Poster]
Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation
Jinjin Zhang, Qiuyu Huang, Junjie Liu, Xiefan Guo, and Di Huang
In: arXiv:2506.01331, Technical Report, 2025
[Paper] [Code] [Dataset]
Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models
Jinjin Zhang, Qiuyu Huang, Junjie Liu, Xiefan Guo, and Di Huang
In: The 43nd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 11-15, 2025, Nashville, USA
[Paper] [arXiv] [Code] [Dataset]
I4VGen: Image as Free Stepping Stone for Text-to-Video Generation
Xiefan Guo, Jinlin Liu, Miaomiao Cui, Liefeng Bo, and Di Huang
In: arXiv:2406.02230, Technical Report, 2024
[Paper] [Code] [Project]
InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization
Xiefan Guo, Jinlin Liu, Miaomiao Cui, Jiankai Li, Hongyu Yang, and Di Huang
In: The 42nd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 17-21, 2024, Seattle, USA
[Paper] [arXiv] [Code] [Project] [Slide] [Poster]
Leveraging Predicate and Triplet Learning for Scene Graph Generation
Jiankai Li, Yunhong Wang, Xiefan Guo, Ruijie Yang, and Weixin Li
In: The 42nd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 17-21, 2024, Seattle, USA
[Paper] [arXiv] [Code]
DreaMoving: A Human Video Generation Framework based on Diffusion Models
DreaMoving Team: Mengyang Feng, Jinlin Liu, Kai Yu, Yuan Yao, Zheng Hui, Xiefan Guo, Xianhui Lin, et al.
In: arXiv:2312.05107, Technical Report, 2023
[Paper] [Code] [Project] [ModelScope] [Hugging Face]
ABPN: Adaptive Blend Pyramid Network for Real-Time Local Retouching of Ultra High-Resolution Photo
Biwen Lei, Xiefan Guo, Hongyu Yang, Miaomiao Cui, Xuansong Xie, and Di Huang
In: The 40th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 19-24, 2022, New Orleans, USA
[Paper] [ModelScope] [Dataset]
Image Inpainting via Conditional Texture and Structure Dual Generation
Xiefan Guo, Hongyu Yang, and Di Huang
In: The 18th IEEE International Conference on Computer Vision (ICCV), Oct. 11-17, 2021, Montreal, Canada (Virtual)
[Paper] [arXiv] [Code] [Slide] [Poster]
Honors
  • 2023: Outstanding Freshman Scholarship for PhD Student, Beihang University
  • 2022: Excellent Graduate Award, Beihang University
  • 2022: Tansuo Award, Beihang University
  • 2021: National Scholarship, Beihang University
  • 2020: Excellent Graduate Award, Tianjin University
  • 2019: National Scholarship, Tianjin University
  • 2018: Silver Medal, ACM International Collegiate Programming Contest (ACM-ICPC), Asia Regional Contest
  • 2018: Silver Medal, China Collegiate Programming Contest (CCPC), Regional Contest
  • 2018: Weichai Power Scholarship, Tianjin University
Professional Activities
  • Conference Reviewer: CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, AISTATS, ACM MM, ICMR, ECAI, BMVC, PRCV
  • Journal Reviewer: TPAMI, TVCG, TCSVT, TMM, CVIU, FCS, J-STSP