1 code implementation • 10 Mar 2024 • Shilin Lu, Zilan Wang, Leyang Li, Yanzhu Liu, Adams Wai-Kin Kong
In this paper, we introduce MACE, a finetuning framework for the task of mass concept erasure.
1 code implementation • ICCV 2023 • Shilin Lu, Yanzhu Liu, Adams Wai-Kin Kong
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.
no code implementations • 9 Sep 2021 • Shilin Lu, Xinghong Hu, Chengyou Wang, Lu Chen, Shulu Han, Yuejia Han
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.