3 citations · 9 across the 8 of their papers we have counts for
9 papers
Instant Preference Alignment for Text-to-Image Diffusion Models
Yang Li, Songlin Yang, Xiaoxuan Han +4
Text-to-image (T2I) generation has greatly enhanced creative expression, yet achieving preference-aligned generation in a real-time and training-free manner remains challenging. Pr…
Concept Corrector: Erase concepts on the fly for text-to-image diffusion models
Zheling Meng, Bo Peng, Xiaochuan Jin +4
Text-to-image diffusion models have demonstrated the underlying risk of generating various unwanted content, such as sexual elements. To address this issue, the task of concept era…
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…
DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation
Yueming Lyu, Tianwei Lin, Fu Li +3
Text-driven image manipulation remains challenging in training or inference flexibility. Conditional generative models depend heavily on expensive annotated training data. Meanwhil…
DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis
Yueming Lyu, Peibin Chen, Jingna Sun +3
In recent years, conditional image synthesis has attracted growing attention due to its controllability in the image generation process. Although recent works have achieved realist…
SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer
Yueming Lyu, Jing Dong, Bo Peng +2
In recent years, virtual makeup applications have become more and more popular. However, it is still challenging to propose a robust makeup transfer method in the real-world enviro…