Towards Explainable Face Aging with Generative Adversarial Networks
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IEEE
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http://xplorestaging.ieee.org/ielx7/8791230/8799366/08803616.pdf?arnumber=8803616
Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Adversarial Defect Synthesis for Industrial Products in Low Data Regime;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08
2. Applications and Limits of Image-to-Image Translation Models;2023 24th International Conference on Digital Signal Processing (DSP);2023-06-11
3. Face Aging by Explainable Conditional Adversarial Autoencoders;Journal of Imaging;2023-05-10
4. Current status, application, and challenges of the interpretability of generative adversarial network models;Computational Intelligence;2022-12-12
5. Grad$$_{2}$$VAE: An Explainable Variational Autoencoder Model Based on Online Attentions Preserving Curvatures of Representations;Image Analysis and Processing – ICIAP 2022;2022
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