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joint-flow-matching-cells
leabogensperger/joint-flow-matching-cells
joint-flow-matching-cells is a machine learning model from leabogensperger. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-4.0.
Pretrained checkpoints for the paper accepted at the ECCV 2026 Workshop on Bioimage Computing (BIC). Code, training/evaluation scripts, and full documentation: https://github.com/leabogensperger/joint-flow-matching-cells
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Updated Aug 21, 2026
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.pt1.2 GB · 90%
At a glance
- License
- cc-by-4.0
- Access
- Public
- Created
- Aug 17, 2026
- Updated
- Aug 21, 2026
- SHA
- bdc507c9
Model card
From the Hugging Face model README
Joint Flow Matching Enables Continuous Dose-Conditioned Cell Morphing
Pretrained checkpoints for the paper accepted at the ECCV 2026 Workshop on Bioimage Computing (BIC). Code, training/evaluation scripts, and full documentation: https://github.com/leabogensperger/joint-flow-matching-cells
Contents
vae/config.yaml, vae/best_model.pth # shared microscopy VAE (all cell lines/drugs)
flow/<drug>/config.yaml, best_model.pt,
latent_scale.pt # one joint flow matching model per drug
Download with scripts/download_checkpoints.py from the GitHub repo above;
the files land directly in experiments/, ready to use with
evaluate_vae.py / evaluate_latent_flow_joint.py.
Citation
@article{bogensperger2026joint,
title={Joint Flow Matching Enables Continuous Dose-Conditioned Cell Morphing},
author={Bogensperger, Lea and Merlo, Manuela and Baumgartner, Martin and Krauthammer, Michael and Ciraulo, Bernard},
journal={arXiv preprint arXiv:2608.16424},
year={2026}
}
- License
- cc-by-4.0
- Created
- Aug 17, 2026
- Updated
- Aug 21, 2026