FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

时间 2020-12-30

标签读书笔记繁體版

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3. Methods 定义 X s X_s Xs为source image，提供identity信息， X t X_t Xt为target image，提供attribute信息（包括pose、expression、scene lighting和background） FaceShifter包含2个stage，在stage1中，采用Adaptive Embedding Integration

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1. 论文理解之增加换脸效果 FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
2. Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
3. Learning Oracle Attention for High-fidelity Face Completion
4. 良心High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild
5. Geometry-Aware Face Completion and Editing
6. RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces论文阅读笔记
7. D2Det: Towards High Quality Object Detection and Instance Segmentation
8. FaceShifter：新的人脸交换模型
9. LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS
10. Scale-Aware Face Detection
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1. 论文理解之增加换脸效果 FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
2. Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
3. Learning Oracle Attention for High-fidelity Face Completion
4. 良心High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild
5. Geometry-Aware Face Completion and Editing
6. RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces论文阅读笔记
7. D2Det: Towards High Quality Object Detection and Instance Segmentation
8. FaceShifter：新的人脸交换模型
9. LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS
10. Scale-Aware Face Detection

>>更多相关文章<<