2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Interactive Image Inpainting Using Semantic Guidance
Wangbo Yu, Jinhao Du, Ruixin Liu +2
Image inpainting approaches have achieved significant progress with the help of deep neural networks. However, existing approaches mainly focus on leveraging the priori distributio…
cs.CV2021★ 2 cited
Structure-aware Image Inpainting with Two Parallel Streams
Zhilin Huang, Chujun Qin, Ruixin Liu +2
Recent works in image inpainting have shown that structural information plays an important role in recovering visually pleasing results. In this paper, we propose an end-to-end arc…
cs.LG2020★ 2 cited
Bidirectional Loss Function for Label Enhancement and Distribution Learning
Xinyuan Liu, Jihua Zhu, Qinghai Zheng +3
Label distribution learning (LDL) is an interpretable and general learning paradigm that has been applied in many real-world applications. In contrast to the simple logical vector…