Junjue-Wang/Rank1-Ali-Tianchi-Real-World-Image-Forgery-Localization-Challenge
2022阿里天池真实场景篡改图像检测挑战赛-冠军方案（1/1149）
This project helps pinpoint tampered areas within real-world images, such as those that have had content erased, pasted, or replaced. It takes an image as input and highlights the specific pixels that show signs of digital manipulation. Anyone who needs to verify the authenticity of images, like forensic investigators or content moderators, would find this useful.
199 stars. No commits in the last 6 months.
Use this if you need to precisely identify altered regions in images, especially when the changes are subtle or cover small areas.
Not ideal if your primary goal is to determine if an image is completely fake rather than localizing specific tampered regions.
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199
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28
Language
Python
License
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Last pushed
Oct 26, 2022
Commits (30d)
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