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20212025
most citedSOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer

3 citations · 9 across the 8 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 1 cited

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2023★ 2 cited

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…