2 citations · 5 across the 5 of their papers we have counts for
5 papers
RefineStyle: Dynamic Convolution Refinement for StyleGAN
Siwei Xia, Xueqi Hu, Li Sun +1
In StyleGAN, convolution kernels are shaped by both static parameters shared across images and dynamic modulation factors specific to each image. Therefore, $…
QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation
Xueqi Hu, Xinyue Zhou, Qiusheng Huang +3
Unpaired image-to-image (I2I) translation often requires to maximize the mutual information between the source and the translated images across different domains, which is critical…
Style Transformer for Image Inversion and Editing
Xueqi Hu, Qiusheng Huang, Zhengyi Shi +4
Existing GAN inversion methods fail to provide latent codes for reliable reconstruction and flexible editing simultaneously. This paper presents a transformer-based image inversion…
Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation
Qiusheng Huang, Zhilin Zheng, Xueqi Hu +2
The image-to-image translation (I2IT) model takes a target label or a reference image as the input, and changes a source into the specified target domain. The two types of synthesi…
LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation
Qiusheng Huang, Xueqi Hu, Li Sun +1
Image-to-image (I2I) translation is usually carried out among discrete domains. However, image domains, often corresponding to a physical value, are usually continuous. In other wo…