[CV] Augmentation using image blending

Image Blending 

Ref: https://www.pythonheidong.com/blog/article/286626/982d0bea20fb9cc62e57/【另外一个例子】

Ref: https://www.jianshu.com/p/49adfbe4b804

normal clone:

不保留dstination 图像的texture细节。目标区域的梯度只由源图像决定。

 

mixed clone:

保留destination 图像的texture 细节。目标区域的梯度是由原图像和目的图像的组合计算出来(计算dominat gradient)。

 

monochrome change:

不保留src图像的颜色细节，只有src图像的质地，颜色和目标图像一样，可以用来进行皮肤质地填充。

 

 

Ref: https://www.kaggle.com/hengck23/augmentation-using-image-blending/notebook【kaggle 提及的一系列方案】

Ref: https://github.com/chia56028/Color-Transfer-between-Images

Ref: https://www.cs.tau.ac.il/~turkel/imagepapers/ColorTransfer.pdf

 

 

 

合成数据的必要性

Amazon helps launch workshop on synthetic data generation

Workshop at ICLR 2021 unites communities investigating synthetic data generation to improve machine learning and protect privacy.

By Sergul Aydore, Krishnaram Kenthapadi

May 03, 2021

 

Synthetic Data Generation

Quality, Privacy, Bias

 

回顾视频

https://iclr.cc/virtual/2021/workshop/2125

 

合成数据的必要性

Getting High-Quality Data for Your Computer Vision Models

Streamed live on Nov 11, 2021

 

 

 

Image Composition

Brain-like Computing and Machine Intelligence (BCMI)

Image Composition Demo

https://github.com/bcmi

 

[1] Li Niu, Wenyan Cong, Liu Liu, Yan Hong, Bo Zhang, Jing Liang, Liqing Zhang, "Making Images Real Again: A Comprehensive Survey on Deep Image Composition", arXiv preprint arXiv:2106.14490, 2021. [pdf]

总结的非常好。

 

[2] Liu Liu, Zhang Bo, Li Jiangtong, Niu Li, Liu Qingyang, Zhang Liqing, "OPA: Object Placement Assessment Dataset", arXiv preprint arXiv:2107.01889, 2021. [pdf]

✎ EditSign

 [dataset]

 

[3] Wenyan Cong, Li Niu, Jianfu Zhang, Jing Liang, Liqing Zhang, "BargainNet: Background-Guided Domain Translation for Image Harmonization", ICME, 2021. [pdf]

✎ EditSign

 [code]

 

[4] Konstantin Sofiiuk, Polina Popenova, Anton Konushin, "Foreground-Aware Semantic Representations for Image Harmonization", WACV, 2021. [pdf]

✎ EditSign

 [code]

 

[5] Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, Liqing Zhang, "DoveNet: Deep Image Harmonization via Domain Verification", CVPR, 2020. [pdf]

✎ EditSign

 [dataset]

 

[6] Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang, "SSH: A Self-Supervised Framework for Image Harmonization", ICCV, 2021. [pdf]

✎ EditSign

 [dataset]

 

[7] Jizhizi Li, Jing Zhang, Dacheng Tao, "Deep Automatic Natural Image Matting", IJCAI, 2021. [pdf]

✎ EditSign

 [dataset]

 

 

 

This AI Can Change Weather, Seasons, and Time of Day in Photos