Welcome to PKU Computational Scientific Imaging Lab!

Computational Imaging is a vibrant and rapidly growing research area at the intersection of computer science, physical science, and instrumentation. Our group pioneers the development of advanced algorithms and innovative hardware to facilitate future scientific imaging at extreme scales. Our scope of work extends across multiple scientific disciplines, ranging from biomedicine to physical sciences. Our research is inherently interdisciplinary and our extensive expertise bridges optics, deep learning, computer vision/graphics, statistical inference, and hardware design.

Our group is led by He Sun, Assistant Professor of Biomedical Engineering & Biophysics, and affiliated with the National Biomedical Imaging Center (NBIC) at Peking University. Please see our Contact page for more information or opportunities page for potential research positions.

Project Highlights

Data Assimilation using Flow-based Generative Models

3D Astrophotography of Space Stations

Neural Operators for Wave Imaging

News

Jan 2025He Sun is co-organizing the Machine Learning for Scientific Imaging Conference (MLSI) at Electronic Imaging Symposium 2025.[Program]
Nov 2024New paper Reconstructing Satellites in 3D from Amateur Telescope Images (led by Zhiming)[Paper]
Oct 2024New paper OpenWaves: A Large-Scale Anatomically Realistic Ultrasound-CT Dataset for Benchmarking Neural Wave Equation Solvers (led by Zhijun & Youjia & Hao)
Oct 2024New paper Blind Inversion using Latent Diffusion Priors (led by Weimin & Siyi)[Paper][Website]
Sep 2024New paper An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations gets accepted for publication at NeurIPS 2024.[Paper][Code]