1、给定两帧的关节点位置信息,学习到类似光流的转换,应用到第一帧的图像上,生成下一帧? 2、身份信息并没有保留? 生成过程:通过合理地表示生成的意图控制生成过程。 条件图像生成框架:相关工作,条件一个推荐图像和指定人脸的视角,生成该视角的人脸。(图像旋转) 失败案例:(生成图片有人工痕迹,用图像梯度loss会不会...
Pose Guided Person Image Generation 查看原文 Adversarial synthesis learning enable segmentation without target modality ground truth 代表MR图像,B代表CT图像。两个生成器G1,G2是两个有9块ResNet组成的generator,G1将模态A的图像x转换为图像B(G1(x)G1(x)),同时G2将模态B的图像y转换为图像A(G2(y)G2(...
PN-GAN生成结果如下: 总结一下,论文通过将姿态归一化来去除掉姿态变化对re-id模型提取特征的影响,用的东西也是现成的,比如说PN-GAN的实现思路跟Pose Guided Person Image Generation里如出一辙等。最后实验的效果比直接使用ResNet-50去做re-id的结果提升也不算特别大(尤其是直接用到新的数据集上测试性能的时候)...
Pose Guided Person Image Generation (PGPIG) aims to transform persons in source images into given target poses. Most existing methods only distort texture information towards the target pose, ignoring the impact of pose information transformation, resulting in images with unrealistic poses or texture ...
Figure 2:The overall framework of our Pose Guided Person Generation Network (PG2). It contains two stages. Stage-I focuses on pose integration and generates an initial result that captures the global structure of the human. Stage-II focuses on refining the initial result via adversarial training...
Pose Guided Person Image Generation-[CODE]- Ma, L., Jia, X., Sun, Q., Schiele, B., Tuytelaars, T., & Gool, L.V. (NIPS 2017) A Generative Model of People in Clothing- Lassner, C., Pons-Moll, G., & Gehler, P.V. (ICCV 2017) ...
Exploring Dual-task Correlation for Pose Guided Person Image Generation (DPTN) 是CVPR 2022做Pose Guided Person Image Generation的工作。主要的创新在于加入一个source-to-source的分支,…阅读全文 赞同2 添加评论 分享收藏 Disentangled Self-Driven Human Pose Transfer by Permuting Textu...
Single-Stage Multi-Person Pose Machines 1.1.2 3d 图像虽然是 2d 形态,但其记录的客观世界仍然是 3d 的,所以在道理上是可以从图像中提取出三维人体信息。基础的信息当然是人体骨架,额外的还要有形体和纹理。 3d skeleton 对于3d 骨架的估计,有一类工作是延续 Non-rigid Structure from Motion 的思路,即认为 2d...
Ma, L., Jia, X., Sun, Q., Schiele, B., Tuytelaars, T., Van Gool, L.: Pose guided person image generation. In: NIPS. (2017) 3, 7 21. Zhang, H., Xu, T., Li, H., Zhang, S., Huang, X., Wang, X., Metaxas, D.: Stack- gan: Text to photo-realistic image ...
We present a new deep learning approach to pose-guided resynthesis of human photographs. At the heart of the new approach is the estimation of the complete body surface texture based on a single photograph. Since the input photograph always observes only a part of the surface, we suggest a ...