論文閱讀：Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
轉載請註明本文出處，謝謝。 論文鏈接：Talking Face Generation by Adversarially Disentangled Audio-Visual Representation 代碼：GitHub 視頻：Video 這是一篇AAAI 2019的文章。文章的題目是通過對抗分解語音和視頻的表徵來生成說話的人臉。 1. Introduction 一個人臉正在說話的這樣一段視頻。
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相關文章
- 1. 論文閱讀：Sequence Generation by Editing Prototype
- 2. 3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation論文泛讀
- 3. 論文閱讀 Question Generation
- 4. 論文筆記（一）【 Disentangled Representation Learning GAN for Pose-Invariant Face Recognition】
- 5. AdaMatting[Disentangled Image Matting]論文閱讀筆記
- 6. 論文閱讀 《BiCov: a novel image representation for person re-identification and face verification》
- 7. 《Learning Deep Representation for Face Alignment with Auxiliary Attributes》論文閱讀筆記
- 8. Inductive Representation Learning on Large Graphs 論文閱讀
- 9. RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces論文閱讀筆記
- 10. 《Contextualized Code Representation Learning for Commit Message Generation》閱讀