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Found 3 papers, 2 papers with code
MACE: Mass Concept Erasure in Diffusion Models
In this paper, we introduce MACE, a finetuning framework for the task of mass concept erasure.
TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition
In this paper, we propose TF-ICON, a novel Training-Free Image COmpositioN framework that harnesses the power of text-driven diffusion models for cross-domain image-guided composition.
Copy-Move Image Forgery Detection Based on Evolving Circular Domains Coverage
The aim of this paper is to improve the accuracy of copy-move forgery detection (CMFD) in image forensics by proposing a novel scheme and the main contribution is evolving circular domains coverage (ECDC) algorithm.
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