FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORK
相關介紹 Face aging又叫age synthesis和age progression。主要的應用領域包括跨年齡識別，尋找丟失兒童和娛樂。傳統的人臉老化包括兩種，基於原型設計方法和基於模型的方法。基於原型的方法在分好的年齡組裏面求平均人臉，利用這些普遍變化進行人臉的老化處理。簡單快速但是但是會產生不真實的圖片。相反，基於模型的方法使用模型計算個體老化的機械化變化，如肌肉，皮膚和頭蓋骨方面的改
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相關文章
- 1. FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
- 2. Face Aging with Contextual Generative Adversarial Nets
- 3. Conditional Generative Adversarial Nets
- 4. Conditional Generative Adversarial Nets（CGAN）
- 5. Conditional Generative Adversarial Networks（CGAN）筆記
- 6. [GAN_papers]CGAN+Conditional Generative Adversarial Nets
- 7. C-GAN(2014):Conditional Generative Adversarial Nets
- 8. 論文閱讀——《Conditional Generative Adversarial Nets》
- 9. [論文筆記]Improving Heterogeneous Face Recognition with Conditional Adversarial Networks
- 10. 《Conditional Generative Adversarial Nets》論文解析