1 code implementation • 28 Jul 2020 • Yuanqi Chen, Xiaoming Yu, Shan Liu, Ge Li
Recent studies have shown remarkable success in unsupervised image-to-image translation.
2 code implementations • CVPR 2020 • Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H. Li, Ge Li
Finally, we warp the source features using a content-aware sampling method with the obtained local attention coefficients.
1 code implementation • NeurIPS 2019 • Xiaoming Yu, Yuanqi Chen, Thomas Li, Shan Liu, Ge Li
Recent advances of image-to-image translation focus on learning the one-to-many mapping from two aspects: multi-modal translation and multi-domain translation.
1 code implementation • ICCV 2019 • Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li
Image inpainting techniques have shown significant improvements by using deep neural networks recently.
1 code implementation • 11 Oct 2018 • Xiaoming Yu, Xing Cai, Zhenqiang Ying, Thomas Li, Ge Li
Besides, we explore variants of SingleGAN for different tasks, including one-to-many domain translation, many-to-many domain translation and one-to-one domain translation with multimodality.
1 code implementation • EMNLP 2018 • Shaobo Liu, Rui Cheng, Xiaoming Yu, Xue-Qi Cheng
Meanwhile, dynamic memory network (DMN) has demonstrated promising capability in capturing contextual information and has been applied successfully to various tasks.
no code implementations • 26 Jun 2018 • Xiaoming Yu, Zhenqiang Ying, Thomas Li, Shan Liu, Ge Li
Recent advances in image-to-image translation have seen a rise in approaches generating diverse images through a single network.