1 code implementation • 18 Mar 2024 • Yang Yang, Wen Wang, Liang Peng, Chaotian Song, Yao Chen, Hengjia Li, Xiaolong Yang, Qinglin Lu, Deng Cai, Boxi Wu, Wei Liu
Customization generation techniques have significantly advanced the synthesis of specific concepts across varied contexts.
no code implementations • 23 Jan 2024 • Hengjia Li, Yang Liu, Yuqi Lin, Zhanwei Zhang, Yibo Zhao, weihang Pan, Tu Zheng, Zheng Yang, Yuchun Jiang, Boxi Wu, Deng Cai
In this paper, we propose UniHDA, a \textbf{unified} and \textbf{versatile} framework for generative hybrid domain adaptation with multi-modal references from multiple domains.
1 code implementation • 20 Dec 2023 • Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai
As a result, we dissect the preservation of patch-wise spatial information in CLIP and proposed a local-to-global framework to obtain image tags.
no code implementations • 14 Dec 2023 • Yibo Zhao, Liang Peng, Yang Yang, Zekai Luo, Hengjia Li, Yao Chen, Wei Zhao, Qinglin Lu, Boxi Wu, Wei Liu
In this paper, we introduce a new simple yet practical task setting: local control.
1 code implementation • 30 Oct 2023 • Hengjia Li, Yang Liu, Linxuan Xia, Yuqi Lin, Tu Zheng, Zheng Yang, Wenxiao Wang, Xiaohui Zhong, Xiaobo Ren, Xiaofei He
Concretely, the distance loss blends the attributes of all target domains by reducing the distances from generated images to all target subspaces.
1 code implementation • 1 Aug 2023 • Zhihao Chi, Tu Zheng, Hengjia Li, Zheng Yang, Boxi Wu, Binbin Lin, Deng Cai
In this paper, we restudy the hyper-parameter temperature and figure out its incapability to distill the knowledge from each sample sufficiently when it is a single value.
no code implementations • 31 Mar 2023 • Hengjia Li, Tu Zheng, Zhihao Chi, Zheng Yang, Wenxiao Wang, Boxi Wu, Binbin Lin, Deng Cai
To tackle these problems, we propose Asymmetric Parallel Point Transformer (APPT).
no code implementations • 6 Dec 2019 • Hengjia Li, Chuong Nguyen
Furthermore, the scale and shift are not properly considered by multifocus stacking techniques.