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progemu
massaki75/progemu
progemu is a machine learning model from massaki75. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains the model weights for the MICCAI'25 paper: Towards Interpretable Counterfactual Generation via Multimodal Autoregression (arxiv, homepage, model). Supported by Shanghai Innovation Institute (S…
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At a glance
- Model type
- Emu3
- Access
- Public
- Created
- Oct 11, 2025
- Updated
- Nov 7, 2025
- SHA
- 4826fb1e
Model card
From the Hugging Face model README
ProgEmu: Towards Interpretable Counterfactual Generation via Multimodal Autoregression
This repository contains the model weights for the MICCAI'25 paper: Towards Interpretable Counterfactual Generation via Multimodal Autoregression (arxiv, homepage, model). Supported by Shanghai Innovation Institute (SII).
Highlights 💡
- Interpretable Counterfactual Generation (ICG): Jointly produces a counterfactual CXR image and a concise interpretation text that pinpoints progression-induced visual changes.
- ICG-CXR Dataset: Over 10k longitudinal CXR quadruples (prior image, prompt, subsequent image, interpretation) that supports ICG task.
- ProgEmu Framework: A single multimodal autoregressive transformer that generates visual and textual counterfactuals in one forward pass.
- Type
- Emu3
- Created
- Oct 11, 2025
- Updated
- Nov 7, 2025