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Unveiling the Truth (IEEE Signal Processing Letters 2024)
Exploring Human Gaze Patterns in Fake Images
Giuseppe Cartella, Vittorio Cuculo, Marcella Cornia, Rita Cucchiara
This is the official repository for the paper "Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images".
📣 Latest News 📣
30 April 2024
Dataset has been released!
Overview
<p align="center"> <img src="teaser.jpg" style="max-width:500px"> </p>Download the dataset
Dataset download is available here.
The dataset should be structured as follows:
|-dataset/
|-images/
|-original/
|- <img_id_1>.jpg
|- ...
|-pix2pix_magicbrush/
|- <img_id_1>.jpg
|- ...
|-semantic_agnostic/
|- <img_id_1>.jpg
|- ...
|-semantic_aware/
|- <img_id_1>.jpg
|- ...
|-masks/
|-semantic_agnostic/
|- <img_id_1>.png
|- ..
|-semantic_aware/
|- <img_id_1>.png
|- ...
|-gaze_data.pickle
|-ip2p_edit_instruction_ADE_subset.json
|-ip2p_edit_instruction_COCO_subset.json
|-ip2p_edit_instruction_LHQ_subset.json
|-semantic_aware_prompt_ADE_subset.json
|-semantic_aware_prompt_COCO_subset.json
|-semantic_aware_prompt_LHQ_subset.json
|-readme.txt
Please refer to the readme.txt file for all details.
How to Visualize Scanpaths
As a first step, move the dataset into the project directory.
To visualize a scanpath run the following command:
python visualize_scanpath.py --img_id COCO_000000229478 --user=4 --type=semantic_aware
By default, two output files are generated:
- output_raw.png --> It contains raw fixations (both saccades and fixations)
- output_fixations.png --> It contains only the final processed fixations.
Red and blue circles represent the first and latest fixation of the plotted scanpath, respectively.
TODO
- Dataset release