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Inversion-Based Creativity Transfer with Diffusion Models


Nov 23, 2022
Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu

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DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization


Nov 19, 2022
Nisha Huang, Yuxin Zhang, Fan Tang, Chongyang Ma, Haibin Huang, Yong Zhang, Weiming Dong, Changsheng Xu

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Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models


Nov 14, 2022
Chengcheng Ma, Yang Liu, Jiankang Deng, Lingxi Xie, Weiming Dong, Changsheng Xu

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Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion


Sep 28, 2022
Nisha Huang, Fan Tang, Weiming Dong, Changsheng Xu

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* Accepted by ACM MM 2022 

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Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning


May 20, 2022
Yuxin Zhang, Fan Tang, Weiming Dong, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Changsheng Xu

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* Accepted by SIGGRAPH 2022 

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Reciprocal Normalization for Domain Adaptation


Dec 20, 2021
Zhiyong Huang, Kekai Sheng, Ke Li, Jian Liang, Taiping Yao, Weiming Dong, Dengwen Zhou, Xing Sun

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* The best feature normalization module for domain adaptation 

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Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer


Aug 04, 2021
Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun

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* We propose a novel and effective design for dynamic vision transformer to achieve better computational efficiency 

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User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning


Jun 14, 2021
Pei Lv, Jianqi Fan, Xixi Nie, Weiming Dong, Xiaoheng Jiang, Bing Zhou, Mingliang Xu, Changsheng Xu

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* 12 pages, 8 figures 

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