【论文阅读】Interpreting the Latent Space of GANs for Semantic Face Editing

时间 2020-12-30

标签论文阅读特征解耦人脸编辑繁體版

原文原文链接

【2020CVPR】 Shen, Yujun, Jinjin Gu, Xiaoou Tang, and Bolei Zhou. “Interpreting the latent space of gans for semantic face editing.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Patt

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1. RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces论文阅读笔记
2. 论文阅读：Sequence Generation by Editing Prototype
3. 【论文阅读】Triple GANs论文阅读
4. 【论文阅读】Structured Knowledge Distillation for Semantic Segmentation
5. 论文阅读：《Understanding Convolution for Semantic Segmentation》
6. 论文阅读 | A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes
7. 【论文阅读】Learning Deconvolution Network for Semantic Segmentation
8. 《Fully Convolutional Networks for Semantic Segmentation》论文阅读
9. 论文阅读：Fully Convolutional Networks for Semantic Segmentation
10. 【阅读笔记】Improved Training of Wasserstein GANs

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