Image manipulation is a key computer vision task, aiming at：

1、the restoration of degraded image content 图像退化修复

 

Image Restoration is a family of inverse problems for obtaining a high quality image from a corrupted input image. Corruption may occur due to the image-capture process (e.g., noise, lens blur), post-processing (e.g., JPEG compression), or photography in non-ideal conditions (e.g., haze雾, motion blur).

 

2、the filling in of missing information 图像缺失修复

 

• 依据context信息“猜测”

• text-guided“创作”

• 利用预先隐写的信息“重构”   ？？属于这个分类吗 latent code??
  

 

3、the needed transformation and/or manipulation to achieve a desired target (with respect to perceptual quality, contents, or performance of apps working on such images)所需的转换和/或操作，以达到预期的目标(关于感知质量，内容，或应用程序的表现这样的图像)

 

• 局部image editing
• scene graph-based image manipulation 基于场景图的图像修改
• 图像风格转style transfer
  

 

4、“无中生有”生成图像，biggan /stargan/cyclegan