no code implementations • 21 Feb 2024 • XuDong Ling, Chaorong Li, Fengqing Qin, Peng Yang, Yuanyuan Huang
Diffusion models are widely used in image generation because they can generate high-quality and realistic samples.
1 code implementation • 20 Feb 2024 • XuDong Ling, Chaorong Li, Fengqing Qin, LiHong Zhu, Yuanyuan Huang
The task of the second stage is to reconstruct the low-resolution images generated in the first stage into high-resolution images.
no code implementations • 12 Mar 2021 • Chaorong Li, Malu Zhang, Wei Huang, Fengqing Qin, Anping Zeng, Yuanyuan Huang
To address this issue, we use the proposed SRN which composed of BiLSTM and several Tanh-Dropout blocks (called BiLSTM-TDN), to further process DCNN one-dimensional features for highlighting the detail information of image.
1 code implementation • ICCV 2021 • Keyu Wen, Jin Xia, Yuanyuan Huang, Linyang Li, Jiayan Xu, Jie Shao
There are two key designs in it, one is the weight-sharing transformer on top of the visual and textual encoders to align text and image semantically, the other is three kinds of contrastive learning designed for sharing knowledge between different modalities.
no code implementations • 30 Sep 2019 • Dongdong Yu, Kai Su, Hengkai Guo, Jian Wang, Kaihui Zhou, Yuanyuan Huang, Minghui Dong, Jie Shao, Changhu Wang
Semi-supervised video object segmentation is an interesting yet challenging task in machine learning.