About me

Hi, I am Zeyuan Chen, a PhD student at University of California, San Diego, advised by Prof. Zhuowen Tu. My current research focus is on generative models, especially on topics such as controllable image, video, and 3D generation. I am also a research intern at Adobe Firefly with Dr. Yuanjun Xiong and Dr. Kai Zhang, working on building video generation models.

Previously, I was a Research Scientist Intern at TikTok, working with Dr. Hongyi Xu and Dr. Linjie Luo in 2024 summer, and with Dr. Peng Wang and Dr. Kejie Li in 2023 summer. I obtained my Bachelor’s degree in Data Science and Big Data Technology from University of Science and Technology of China. I was fortunate to work with Prof. Xiaolong Wang@UCSD; Prof. Shenlong Wang@UIUC; Prof. Zhangyang (Atlas) Wang@UT Austin and Prof. Dong Liu@USTC. Here is my curriculum vitae.

Contact: zec016@ucsd.edu

Publications

• X-Dancer: Expressive music to human dance video generation
  Zeyuan Chen, Hongyi Xu, Guoxian Song, You Xie, Chenxu Zhang, Xin Chen, Chao Wang, Di Chang, Linjie Luo.
  In ICCV 2025 (Highlight).
  [PDF],[Code],[Project page]
• DepR: Depth Guided Single-view Scene Reconstruction with Instance-level Diffusion
  Qingcheng Zhao*, Xiang Zhang*, Haiyang Xu, Zeyuan Chen, Jianwen Xie, Yuan Gao, Zhuowen Tu.
  In ICCV 2025.
  [PDF],[Code],[Project page]
• YOLO-Count: Differentiable Object Counting for Text-to-Image Generation
  Guanning Zeng, Xiang Zhang, Zirui Wang, Haiyang Xu, Zeyuan Chen, Bingnan Li, Zhuowen Tu.
  In ICCV 2025.
  [PDF],[Code],[Project page]
• X-dyna: Expressive dynamic human image animation
  Di Chang, Hongyi Xu, You Xie, Yipeng Gao, Zhengfei Kuang, Shengqu Cai, Chenxu Zhang, Guoxian Song, Chao Wang, Yichun Shi, Zeyuan Chen, Shijie Zhou, Linjie Luo, Gordon Wetzstein, Mohammad Soleymani.
  In CVPR 2025 (Highlight).
  [PDF],[Code],[Project page]
• Dolfin: Diffusion Layout Transformers without Autoencoder
  Yilin Wang, Zeyuan Chen, Liangjun Zhong, Zheng Ding, Zhizhou Sha, Zhuowen Tu.
  In ECCV 2024.
  [PDF],[Code],[Project page]
• Bayesian Diffusion Models for 3D Shape Reconstruction
  Haiyang Xu*, Yu Lei*, Zeyuan Chen, Xiang Zhang, Yue Zhao, Yilin Wang, Zhuowen Tu.
  In CVPR 2024.
  [PDF],[Code],[Project page]
• Bliva: A Simple Multimodal LLM for Better Handling of Text-rich Visual Questions
  Wenbo Hu*, Yifan Xu*, Yi Li, Weiyue Li, Zeyuan Chen, Zhuowen Tu.
  In AAAI 2024.
  [PDF],[Code],[Project page]
• Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction
  Xiang Zhang*, Zeyuan Chen*, Fangyin Wei, Zhuowen Tu.
  In ICCV 2023.
  [PDF],[Code],[Project page]
• CASA: Category-agnostic Skeletal Animal Reconstruction
  Yuefan Wu*, Zeyuan Chen*, Shaowei Liu, Zhongzheng Ren, Shenlong Wang.
  In Neurips 2022.
  [PDF],[Code],[Project page]
• VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
  Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang.
  In CVPR 2022.
  [PDF],[Code],[Project page]
• PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors
  Zeyuan Chen, Yangchao Wang, Yang Yang, Dong Liu.
  In CVPR 2021 (Oral).
  [PDF],[Code],[Project page]
• CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise
  Zeyuan Chen, Yifan Jiang, Dong Liu, Zhangyang Wang.
  In IEEE Transactions on Image Processing (TIP).
  [PDF],[Code],[Project page]

Research Experience

   Adobe

     Mentor: Yuanjun Xiong, Kai Zhang

     Jun. 2025 - Nov. 2025

   TikTok

     Mentor: Hongyi Xu, Linjie Luo

     Jun. 2024 - Nov. 2024

   TikTok

     Mentor: Peng Wang, Kejie Li

     Jun. 2023 - Nov. 2023

   University of Illinois Urbana-Champaign

     Advisor: Shenlong Wang

     Jun. 2021 - Aug. 2022

   University of California, San Diego

     Advisor: Xiaolong Wang

     Apr. 2021 - Nov. 2021

   University of Texas at Austin, VITA Group

     Advisor: Zhangyang (Atlas) Wang

     Jun. 2020 - Mar. 2021

Misc.

I am a huge fan of Overwatch and I am a Tracer One Trick (๑•̀ㅂ•́)و✧