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PinPoint_Counterfactuals
anonymous-upload-neurips-2025/PinPoint_Counterfactuals
PinPoint_Counterfactuals is a machine learning model from anonymous-upload-neurips-2025. 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 mit.
To generate PinPoint Counterfactuals, take the following steps.
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Updated May 16, 2025
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At a glance
- License
- mit
- Access
- Public
- Created
- May 16, 2025
- Updated
- May 16, 2025
- SHA
- e0e27d3e
Model card
From the Hugging Face model README
Pinpoint Counterfactuals: localized gender counterfactual generation (NeurIPS 2025 Datasets and Benchmarks track. Submission 1386)
Getting started
To generate PinPoint Counterfactuals, take the following steps.
Download the data
First, download the <a href="https://ai.meta.com/datasets/facet-downloads/">FACET</a> and <a href="https://ai.google.com/research/ConceptualCaptions/download">CC3M</a> dataset. Unpack them in the directory of your choice.
Generating PP masks
Use the Color-Invariant-Skin-Segmentation module to generate masks, following the methodology outlined in the main submission manuscript.
In-paint the images
Use the BrushNet module to in-paint the images from FACET and/or CC3M (see the respective scripts in BrushNet/examples/brushnet/inapaint_*.py.
- License
- mit
- Created
- May 16, 2025
- Updated
- May 16, 2025