About me

Hi! I am a junior undergraduate student at Tsinghua University, majoring in Computer Science and Technology. I will visit Prof. Stefano Ermon’s group at Stanford University through the UGVR program this summer. Previously, I have spent a wonderful summer interning at Shanghai AI Lab and was fortunate to be advised by Prof. Xingang Pan at MMLab, NTU. I was also honored to be advised by Prof. Jie Tang at Knowledge Engineering Group (KEG), THU.

My research interests lie in the area of computer vision, deep learning and computer graphics. I am particularly interested in the following topics:

  • Generative Models, e.g. Diffusion Models
  • Neural Scene Representations and Rendering
  • Image, Video and 3D Generation and Manipulation

Contact: zkw21@mails.tsinghua.edu.cn / zkw@stanford.edu

Download CV (Up to 2024.02) / Blog / X(Twitter)

Publications / Preprints

  • Kaiwen Zhang, Yifan Zhou, Xudong Xu, Xingang Pan✉, Bo Dai. DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing CVPR 2024 (Project / Paper / ArXiv / Code)

Experience

  • Undergraduate Visiting Research Intern, Stanford University, 2024.06 - Present
  • Research Intern, Intelligent Digital Creation Group, Shanghai AI Lab, 2023.07 - 2024.01
  • Research Assistant, Knowledge Engineering Group (KEG), Tsinghua University, 2022.09 - 2023.06
  • Undergraduate student (GPA: 3.95/4.0, Top 5%), Department of Computer Science and Technology, Tsinghua University, 2021.09 - 2025.07 (Expected)

Honors and Awards

  • SenseTime Scholarship, 2024
  • National Scholarship, 2023
  • Second Prize (3 / 109), The Jittor AI Challenge (Image Generation Track), 2023
  • Tsinghua University Comprehensive Excellence Scholarship, 2022
  • Meritorious Winner, American Mathematical Contest in Modeling, 2022