Baiang Li

About Me

I am a PhD student in Princeton University, advised by Felix Heide.
I have the honor to collaborate closely with Jian Wang@ Snap Research and Xiaogang Xu@ CUHK.
My current research mainly focus on the intersection of computational photography and AI. I co-design camera ISP and deep learning models to create more powerful and efficient imaging systems. Also we are building the next generation camera 📷 by combining computational photography and AI!
We co-founded a platform for beginners to learn about lowlevel vision and imaging, summarizing the latest research and techniques and holding events worldwide! There are also available resources for job opportunities. If you are interested, want to join our community, or want to post your job opportunities, please check it out at https://lowlevelcv.com.
I am open to collaborations! Please feel free to reach out by email if you want to work with me or intern in our Computational Imaging Lab, I have lots of interesting ideas to explore.

📸Research Interests

• Computer Vision: I explore the foundational models, model behavior and training strategy for next step development of computer vision field. Besides I work on various computer vision tasks (low level and high level applications).
• Image/Video Processing Tasks: Efficient image/video quality enhancement, image/video editing/manipulation, and generation
• Cross domain between computer vision and computational photography: Building bridges between deep learning models and computational imaging optics.This requires us to think about how to draw inspiration from camera lens processing to design elegant neural networks, or how to change the camera lens and backend ISP so that they can promote synergy with each other (e.g., Optical Neural Network).

🔥News

• [Sep. 2025] One paper about hierarchical modeling has been accepted to NeurIPS. Congrats to collaborators!
• [Jun. 2025] We will post our paper in RSS2025 Workshop on Robot Planning in the Era of Foundation Models.
• [May 2025] Our paper about image enhancement is accepted to ICCP as oral presentation.
• [May 2025] We release our new work about autonomous driving.
• [May 2025] Our paper about image deraining is accepted to TMM.
• [Feb. 2025] Get officially accepted and become a PhD student in Princeton University!
• [Jul. 2024] I will visit the Computational Imaging Lab@Princeton University and conduct research work on computational photography as a research assistant.
• [Jun. 2024] We release our new work about low dynamic range image enhancement.
• [Mar. 2024] One paper about image matting is accepted to Siggraph 2024.
• [Feb. 2024] We release our new work about image deraining.
• [Nov. 2023] I will start my internship at OpenMMLab@Shanghai AI Lab.
• [Aug. 2023] Our paper about low-light stereo image enhancement is accepted to ACM-MM 2023.

🖨️Publications&Preprints

🏆Challenge Reports

🎤Talks

• Efficient Computer Vision in (Next-Generation) Cameras 📷 — Princeton University, NJ, USA.
• (Conference Oral Presentation) Exposure-Limited Image Enhancement with Generative Diffusion Prior — ICCP 2025,Toronto, Canada.
• Lucky HDR Merging — NextCam Group in Adobe Inc., CA, USA.

👓Services

Conference Reviewers

• International Conference on Computer Vision (ICCV) 2025
• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2025, 2026
• European Conference on Computer Vision (ECCV) 2024
• ACM International Conference on Multimedia (ACM-MM) and MM Asia, 2023, 2024, 2025

Program Committee

• Association for the Advancement of Artificial Intelligence (AAAI) 2025, 2026

Journal Reviewers

• IEEE Transactions on Image Processing (TIP)
• IEEE Transactions on Multimedia (TMM)

💻Internships

• Computational Imaging Lab@Princeton University, New Jersey, USA

  July 2024 – Current
  Research Assistant
  Advisor: Felix Heide
  Topic: Computational Photography
  

• OpenMMLab @Shanghai AI Lab , Shanghai, China

  Nov. 2023 – Mar. 2024
  Research Intern in MMagic group
  Advisor: Yanhong Zeng
  Topic: Image/video restoration and generation
  

• Zhejiang Lab, Hangzhou, China

  July 2023 – Sep. 2023
  Research Intern
  Advisor: Xiaogang Xu and Yulun Zhang
  Topic: low-light image/video enhancement and image/video restoration
  

• Key Laboratory of Knowledge Engineering
  with Big Data(Ministry of Education), Hefei, China

  Aug. 2022 – July 2023
  Research Assistant
  Advisor: Zhao Zhang
  Topic: low-light image/video enhancement and image/video restoration
  

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