DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation

Author:

Leng Yipeng1ORCID,Huang Qiangjuan2ORCID,Wang Zhiyuan2ORCID,Liu Yangyang2ORCID,Zhang Haoyu2ORCID

Affiliation:

1. Defense Innovation Institute, Academy of Military Sciences, China

2. Intelligent Game and Decision Lab, China

Publisher

ACM

Reference44 articles.

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3. Fan Bao , Shen Nie , Kaiwen Xue , Chongxuan Li , Shi Pu , Yaole Wang , Gang Yue , Yue Cao , Hang Su , and Jun Zhu . 2023. One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale. arXiv e-prints arXiv:2303.06555 ( 2023 ). Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, and Jun Zhu. 2023. One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale. arXiv e-prints arXiv:2303.06555 (2023).

4. Yaniv Benny and Lior Wolf . 2022 . Dynamic Dual-Output Diffusion Models . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 11482–11491 . Yaniv Benny and Lior Wolf. 2022. Dynamic Dual-Output Diffusion Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 11482–11491.

5. Ali Borji , Saeed Izadi , and Laurent Itti . 2016 . ilab-20m: A large-scale controlled object dataset to investigate deep learning . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2221–2230 . Ali Borji, Saeed Izadi, and Laurent Itti. 2016. ilab-20m: A large-scale controlled object dataset to investigate deep learning. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2221–2230.

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