RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces論文閱讀筆記
論文原文地址:RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces 本文和上一篇FSNet極爲相似,:FSNet: An Identity-Aware Generative Model for Image-based Face Swapping,有需要的小夥伴可以對照着看. 摘要:R
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相關文章
- 1. 【論文閱讀】Interpreting the Latent Space of GANs for Semantic Face Editing
- 2. Geometry-Aware Face Completion and Editing
- 3. 論文閱讀 《BiCov: a novel image representation for person re-identification and face verification》
- 4. FaceNet: A Unified Embedding for Face Recognition and Clustering（論文閱讀筆記）
- 5. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks閱讀筆記
- 6. 論文：Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks 閱讀筆記
- 7. 論文筆記1.3——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 8. FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
- 9. 論文筆記1.2——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 10. 論文筆記1——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks