no code implementations • 3 Jun 2023 • Yiji Cheng, Fei Yin, Xiaoke Huang, Xintong Yu, Jiaxiang Liu, Shikun Feng, Yujiu Yang, Yansong Tang
These elaborated designs enable our model to generate portraits with robust multi-view semantic consistency, eliminating the need for optimization-based methods.
2 code implementations • CVPR 2023 • Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Li Chen, Hao Tian, Hua Wu, Haifeng Wang
Recent progress in diffusion models has revolutionized the popular technology of text-to-image generation.
Ranked #12 on Text-to-Image Generation on MS COCO
1 code implementation • 29 May 2022 • Xintong Yu, Hongming Zhang, Ruixin Hong, Yangqiu Song, ChangShui Zhang
In this paper, we propose VD-PCR, a novel framework to improve Visual Dialog understanding with Pronoun Coreference Resolution in both implicit and explicit ways.
3 code implementations • Findings (NAACL) 2022 • Ruixin Hong, Hongming Zhang, Xintong Yu, ChangShui Zhang
Advances on QA explanation propose to explain the answers with entailment trees composed of multiple entailment steps.
1 code implementation • EMNLP 2021 • Xintong Yu, Hongming Zhang, Yangqiu Song, ChangShui Zhang, Kun Xu, Dong Yu
Resolving pronouns to their referents has long been studied as a fundamental natural language understanding problem.
1 code implementation • IJCNLP 2019 • Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Chang-Shui Zhang
To tackle this challenge, in this paper, we formally define the task of visual-aware pronoun coreference resolution (PCR) and introduce VisPro, a large-scale dialogue PCR dataset, to investigate whether and how the visual information can help resolve pronouns in dialogues.
no code implementations • 10 Feb 2014 • Xintong Yu, Xiaohan Liu, Yisong Chen
We propose a foreground segmentation algorithm that does foreground extraction under different scales and refines the result by matting.