7 citations · 11 across the 5 of their papers we have counts for
5 papers
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…
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…
Fine-Grained Face Swapping via Regional GAN Inversion
Zhian Liu, Maomao Li, Yong Zhang +4
We present a novel paradigm for high-fidelity face swapping that faithfully preserves the desired subtle geometry and texture details. We rethink face swapping from the perspective…
PS-NeRV: Patch-wise Stylized Neural Representations for Videos
Yunpeng Bai, Chao Dong, Cairong Wang
We study how to represent a video with implicit neural representations (INRs). Classical INRs methods generally utilize MLPs to map input coordinates to output pixels. While some r…
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…