3 papers
cs.CV2023★ 1 cited
E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion
Maomao Li, Ge Yuan, Cairong Wang +5
This paper proposes a novel approach to face swapping from the perspective of fine-grained facial editing, dubbed "editing for swapping" (E4S). The traditional face swapping method…
cs.CV2023★ 7 cited
TextIR: A Simple Framework for Text-based Editable Image Restoration
Yunpeng Bai, Cairong Wang, Shuzhao Xie +3
Most existing image restoration methods use neural networks to learn strong image-level priors from huge data to estimate the lost information. However, these works still struggle…
cs.CV2022
Improving the Latent Space of Image Style Transfer
Yunpeng Bai, Cairong Wang, Chun Yuan +2
Existing neural style transfer researches have studied to match statistical information between the deep features of content and style images, which were extracted by a pre-trained…