6 citations · 7 across the 9 of their papers we have counts for
3 papers · 1 filter
DinoLizer: Separating VAE and Diffusion Artifacts in Generative Inpainting Localization
Minh Thong Doi, Vincent Itier, Jan Butora +2
We introduce DinoLizer, a DINOv2-based localizer of manipulated areas in generative inpainting. The model is trained to focus on semantically altered regions by treating reconstruc…
Secure and reversible face anonymization with diffusion models
Pol Labarbarie, Vincent Itier, William Puech
Face anonymization aims to protect sensitive identity information by altering faces while preserving visual realism and utility for downstream computer vision tasks. Current method…
Maximize margins for robust splicing detection
Julien Simon de Kergunic, Rony Abecidan, Patrick Bas +1
Despite recent progress in splicing detection, deep learning-based forensic tools remain difficult to deploy in practice due to their high sensitivity to training conditions. Even…