Learning Continuous Face Age Progression: A Pyramid of GANs（CVPR18擴展）

時間 2021-01-11

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1 INTRODUCTION 本文是CVPR18的擴展 3 METHOD 3.1 Overview loss包括the traditional squared Euclidean loss、the GAN loss、the identity loss 結構上，判別器是pyramid-structured discriminator 3.2 Generator 生成器是Encoder-Decoder

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1. Learning Face Age Progression: A Pyramid Architecture of GANs
2. Learning Face Age Progression: A Pyramid Architecture of GANs筆記
3. Age Progression and Regression with Spatial Attention Modules（AAAI20）
4. Spatiotemporal continuous estimates of PM2.5 concentrations in China, 2000–2016: A machine learning
5. The issus in Age Progression/Regression by Conditional Adversarial Autoencoder (CAAE)
6. GANs學習系列(1)：GANs最新進展一
7. A Study of Regression Test Selection in Continuous Integration Environments
8. Towards Open-Set Identity Preserving Face Synthesis（CVPR18）
9. Deep learning approach for facial age classification: a survey of the state‑of‑the‑art 論文閱讀
10. A journey of English learning two

>>更多相關文章<<