X-Edit uses Stable Diffusion inversion features with a U-Net and attention to predict edited-region masks, and contributes a paired 167,026-image dataset for the task.
Hybrid lstm and encoder–decoder architecture for detection of image forg- eries.IEEE transactions on image processing, 28(7):3286– 3300, 2019
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models
X-Edit uses Stable Diffusion inversion features with a U-Net and attention to predict edited-region masks, and contributes a paired 167,026-image dataset for the task.