Publications

(ACMMM-2024) FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation (CCF-A)

Published in , 2024

Paper download: Source link, arXiv link Code: Github

Recommended citation: Gao, Xiang, and Jiaying Liu. FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation. Proceedings of the 32nd ACM International Conference on Multimedia. 2024. https://dl.acm.org/doi/10.1145/3664647.3681380

(AAAI-2024) Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation (CCF-A)

Published in , 2024

Paper download: Source link, arXiv link Code: Github

Recommended citation: Gao, Xiang and Xu, Zhengbo and Zhao, Junhan and Liu, Jiaying. Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation. Proceedings of the AAAI Conference on Artificial Intelligence, AAAI-24, 2024. https://ojs.aaai.org/index.php/AAAI/article/view/27951

(IJCAI-2023) Divide Rows and Conquer Cells: Towards Structure Recognition for Large Tables (CCF-A)

Published in , 2023

Paper download link

Recommended citation: Shen H, Gao X, Wei J, Qiao L, Zhou Y, Li Q, and Cheng Z. Divide Rows and Conquer Cells: Towards Structure Recognition for Large Tables. In Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI-23, 2023. https://www.ijcai.org/proceedings/2023/0152.pdf

(ICML-2022) Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization (CCF-A)

Published in , 2022

Paper download: Source link, arXiv link Code: Github

Recommended citation: Gao X, Zhang Y, Tian Y. Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization[C]//International Conference on Machine Learning. PMLR, 2022: 7183-7207. https://proceedings.mlr.press/v162/gao22k/gao22k.pdf

(IJCAI-2021) Multi-view Feature Augmentation with Adaptive Class Activation Mapping (CCF-A)

Published in , 2021

Paper download: Source link, arXiv link

Recommended citation: Gao X, Tian Y, and Qi Z. Multi-view Feature Augmentation with Adaptive Class Activation Mapping. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, 2021: 678–684. https://www.ijcai.org/proceedings/2021/0094.pdf

(TIP-2020) RPD-GAN: Learning to draw realistic paintings with generative adversarial network (CCF-A)

Published in , 2020

Paper download link

Recommended citation: Gao X, Tian Y, Qi Z. RPD-GAN: Learning to draw realistic paintings with generative adversarial network[J]. IEEE Transactions on Image Processing, 2020, 29: 8706-8720. https://ieeexplore.ieee.org/document/9179994

Xiang Gao

Publications

(ACMMM-2024) FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation (CCF-A)

(AAAI-2024) Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation (CCF-A)

(IJCAI-2023) Divide Rows and Conquer Cells: Towards Structure Recognition for Large Tables (CCF-A)

(ICML-2022) Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization (CCF-A)

(IJCAI-2021) Multi-view Feature Augmentation with Adaptive Class Activation Mapping (CCF-A)

(TIP-2020) RPD-GAN: Learning to draw realistic paintings with generative adversarial network (CCF-A)