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ai4imaging/README.md

Lab Banner Welcome to the 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.


Lab Banner

We aim to facilitate future scientific imaging at across scales through cutting-edge computational methods.

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  1. AI4ImagingLab/Dive3D AI4ImagingLab/Dive3D Public

    The official code release of Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching (TMLR 2025)

    Python 9 1

  2. AI4ImagingLab/3DSatellitesCode AI4ImagingLab/3DSatellitesCode Public

    C++ 8 2

  3. AI4ImagingLab/VLM3D AI4ImagingLab/VLM3D Public

    The official code release of Let Language Constrain Geometry: Vision-Language Models as Semantic and Spatial Critics for 3D Generation (ICML 2026)

    Python 7 1

  4. AI4ImagingLab/OmniFHT AI4ImagingLab/OmniFHT Public

    Python 1

  5. AI4ImagingLab/EM_All_In_One AI4ImagingLab/EM_All_In_One Public

    Python

  6. AI4ImagingLab/EMDiffusoin AI4ImagingLab/EMDiffusoin Public

    Official PyTorch implementation of EMDiffusion: 'An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations'

    Python 1 1