Pose Guided Person Image Generation
生成网络 网络包含两个生成网络,分别为G1,G2. 生成网络G1输入为condition image和target pos的串联,生成粗略的姿势图像,即coarse result. 生成网络G2,将condition image,与生成网络G1的输入串联,输入G2,生成一个difference map. 将G1,G2生成图像相加得到最后的生成图像,即refined result. 判别网络 判别网
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相关文章
- 1. Pose-Normalized Image Generation for Person Re-identification (note)
- 2. Pose-Normalized Image Generation for Person Re-identification 论文笔记
- 3. CVPR2018：Disentangled Person Image Generation 换装换姿势
- 4. Multi person-pose estimation
- 5. 行人重识别（Person Re-ID）【五】：论文笔记——Pose-Normalized Image Generation for Person Re-identification
- 6. Pose-guided Visible Part Matching for Occluded Person ReID阅读笔记
- 7. Pose-Guided Feature Alignment for Occluded Person Re-Identification阅读笔记
- 8. Attribute-Guided Face Generation Using Conditional CycleGAN
- 9. Guided Image Filtering
- 10. MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network