1 citations · 1 across the 6 of their papers we have counts for
6 papers
Dark Miner: Defend against undesirable generation for text-to-image diffusion models
Zheling Meng, Bo Peng, Xiaochuan Jin +4
Text-to-image diffusion models have been demonstrated with undesired generation due to unfiltered large-scale training data, such as sexual images and copyrights, necessitating the…
RS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models
Yue Jiang, Yueming Lyu, Tianxiang Ma +2
Recent text-conditioned image generation models have demonstrated an exceptional capacity to produce diverse and creative imagery with high visual quality. However, when pre-traine…
DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing
Yueming Lyu, Kang Zhao, Bo Peng +5
Text-guided image editing faces significant challenges when considering training and inference flexibility. Much literature collects large amounts of annotated image-text pairs to…
InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer
Yueming Lyu, Yue Jiang, Bo Peng +1
Artistic style transfer aims to transfer the style of an artwork to a photograph while maintaining its original overall content. Many prior works focus on designing various transfe…
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection
Yueming Lyu, Yue Jiang, Ziwen He +3
The privacy and security of face data on social media are facing unprecedented challenges as it is vulnerable to unauthorized access and identification. A common practice for solvi…
DFGC 2022: The Second DeepFake Game Competition
Bo Peng, Wei Xiang, Yue Jiang +5
This paper presents the summary report on our DFGC 2022 competition. The DeepFake is rapidly evolving, and realistic face-swaps are becoming more deceptive and difficult to detect.…