Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
To adapt conventional deep models to real scenarios, a research work carried by a team (XPixel) from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences investi...
- computer vision & graphics
- research
- shenzhen institute of advanced technology
- computer science
- computer vision
Source: syncedreview.com
To adapt conventional deep models to real scenarios, a research work carried by a team (XPixel) from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences investigated the use of additional branches to tune imagery effects.