no code implementations • 16 Mar 2024 • Zihan Wang, Jiayu Xiao, Mengxiang Li, Zhongjiang He, Yongxiang Li, Chao Wang, Shuangyong Song
In our dynamic world where data arrives in a continuous stream, continual learning enables us to incrementally add new tasks/domains without the need to retrain from scratch.
no code implementations • 30 Jan 2024 • Henglei Lv, Jiayu Xiao, Liang Li, Qingming Huang
To this end, we propose Pick-and-Draw, a training-free semantic guidance approach to boost identity consistency and generative diversity for personalization methods.
no code implementations • 13 Oct 2023 • Jiayu Xiao, Henglei Lv, Liang Li, Shuhui Wang, Qingming Huang
Recent text-to-image (T2I) diffusion models have achieved remarkable progress in generating high-quality images given text-prompts as input.
1 code implementation • ICCV 2023 • Zhenhuan Liu, Liang Li, Jiayu Xiao, Zheng-Jun Zha, Qingming Huang
The experiments demonstrate the effectiveness of our method to preserve the diversity of source domain and generate high fidelity target images.
2 code implementations • CVPR 2022 • Jiayu Xiao, Liang Li, Chaofei Wang, Zheng-Jun Zha, Qingming Huang
A feasible solution is to start with a GAN well-trained on a large scale source domain and adapt it to the target domain with a few samples, termed as few shot generative model adaption.
no code implementations • ICCV 2021 • Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang
The backbone of traditional CNN classifier is generally considered as a feature extractor, followed by a linear layer which performs the classification.
no code implementations • 23 Dec 2019 • Yuhua Chen, Dan Ruan, Jiayu Xiao, Lixia Wang, Bin Sun, Rola Saouaf, Wensha Yang, Debiao Li, Zhaoyang Fan
The model takes in multi-slice MR images and generates the output of segmentation results.