1 code implementation • 28 Aug 2023 • Yang Liu, Cheng Yu, Lei Shang, Yongyi He, Ziheng Wu, Xingjun Wang, Chao Xu, Haoyu Xie, Weida Wang, Yuze Zhao, Lin Zhu, Chen Cheng, Weitao Chen, Yuan YAO, Wenmeng Zhou, Jiaqi Xu, Qiang Wang, Yingda Chen, Xuansong Xie, Baigui Sun
In this paper, we present FaceChain, a personalized portrait generation framework that combines a series of customized image-generation model and a rich set of face-related perceptual understanding models (\eg, face detection, deep face embedding extraction, and facial attribute recognition), to tackle aforementioned challenges and to generate truthful personalized portraits, with only a handful of portrait images as input.
no code implementations • 28 Feb 2023 • Zhengzhuo Xu, Shuo Yang, Xingjun Wang, Chun Yuan
Hence, we propose to adopt unsupervised learning to utilize long-tailed data.
1 code implementation • 20 Jul 2022 • Zhaoyangfan Huang, Kun Hu, Xingjun Wang
The framework consists of three main components, highlight feature extractor module, highlight coarse removal module, and highlight refine removal module.
no code implementations • Findings (ACL) 2022 • Yanzhao Zheng, Haibin Wang, Baohua Dong, Xingjun Wang, Changshan Li
In this work, we propose a History Information Enhanced text-to-SQL model (HIE-SQL) to exploit context-dependence information from both history utterances and the last predicted SQL query.