307 citations · 385 across the 11 of their papers we have counts for
11 papers
ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing
Bingchuan Li, Tianxiang Ma, Peng Zhang +4
The StyleGAN family succeed in high-fidelity image generation and allow for flexible and plausible editing of generated images by manipulating the semantic-rich latent style space.…
XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generation
Wei Liu, Fangyue Liu, Fei Ding +2
Generating a new font library is a very labor-intensive and time-consuming job for glyph-rich scripts. Few-shot font generation is thus required, as it requires only a few glyph re…
Region-Aware Face Swapping
Chao Xu, Jiangning Zhang, Miao Hua +3
This paper presents a novel Region-Aware Face Swapping (RAFSwap) network to achieve identity-consistent harmonious high-resolution face generation in a local-global manner: \textbf…
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP
Zihao Wang, Wei Liu, Qian He +2
Training a text-to-image generator in the general domain (e.g., Dall.e, CogView) requires huge amounts of paired text-image data, which is too expensive to collect. In this paper,…
Spatial-Temporal Residual Aggregation for High Resolution Video Inpainting
Vishnu Sanjay Ramiya Srinivasan, Rui Ma, Qiang Tang +2
Recent learning-based inpainting algorithms have achieved compelling results for completing missing regions after removing undesired objects in videos. To maintain the temporal con…
FaceEraser: Removing Facial Parts for Augmented Reality
Miao Hua, Lijie Liu, Ziyang Cheng +3
Our task is to remove all facial parts (e.g., eyebrows, eyes, mouth and nose), and then impose visual elements onto the ``blank'' face for augmented reality. Conventional object re…
DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing
Bingchuan Li, Shaofei Cai, Wei Liu +4
The semantic controllability of StyleGAN is enhanced by unremitting research. Although the existing weak supervision methods work well in manipulating the style codes along one att…
Animating Through Warping: an Efficient Method for High-Quality Facial Expression Animation
Zili Yi, Qiang Tang, Vishnu Sanjay Ramiya Srinivasan +1
Advances in deep neural networks have considerably improved the art of animating a still image without operating in 3D domain. Whereas, prior arts can only animate small images (ty…
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting
Zili Yi, Qiang Tang, Shekoofeh Azizi +2
Recently data-driven image inpainting methods have made inspiring progress, impacting fundamental image editing tasks such as object removal and damaged image repairing. These meth…
BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image Synthesis
Zili Yi, Zhiqin Chen, Hao Cai +3
We introduce BSD-GAN, a novel multi-branch and scale-disentangled training method which enables unconditional Generative Adversarial Networks (GANs) to learn image representations…
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
Zili Yi, Hao Zhang, Ping Tan +1
Conditional Generative Adversarial Networks (GANs) for cross-domain image-to-image translation have made much progress recently. Depending on the task complexity, thousands to mill…