DEAL-300K: A Diffusion-Based Approach for Localizing Edited Image Areas
Published:Nov 28, 2025 17:22
•1 min read
•ArXiv
Analysis
This research introduces DEAL-300K, a diffusion-based method for localizing edited areas in images, utilizing a substantial 300K-scale dataset. The development of frequency-prompted baselines suggests an effort to improve the accuracy and efficiency of image editing detection.
Key Takeaways
- •DEAL-300K employs diffusion models for localizing image edits.
- •A large-scale 300K dataset is used for training and evaluation.
- •The paper introduces frequency-prompted baselines.
Reference
“The research leverages a 300K-scale dataset.”