RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces论文阅读笔记

时间 2021-04-10

标签论文阅读 AI换脸繁體版

原文原文链接

论文原文地址:RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces 本文和上一篇FSNet极为相似,:FSNet: An Identity-Aware Generative Model for Image-based Face Swapping,有需要的小伙伴可以对照着看. 摘要:R

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1. 【论文阅读】Interpreting the Latent Space of GANs for Semantic Face Editing
2. Geometry-Aware Face Completion and Editing
3. 论文阅读《BiCov: a novel image representation for person re-identification and face verification》
4. FaceNet: A Unified Embedding for Face Recognition and Clustering（论文阅读笔记）
5. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks阅读笔记
6. 论文：Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks 阅读笔记
7. 论文笔记1.3——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
8. FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
9. 论文笔记1.2——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
10. 论文笔记1——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

>>更多相关文章<<