MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images

Understand

Rain severely hampers the visibility of scene objects when images are captured through glass in heavily rainy days.

• We observe three intriguing phenomenons that, 1) rain is a mixture of raindrops, rain streaks and rainy haze; 2) the depth from the camera determines the degrees of object visibility, where objects nearby and faraway are visually blocked by rain streaks and rainy haze, respectively; and 3) raindrops on the glass randomly affect the object visibility of the whole image space.
• We for the first time consider that, the overall visibility of objects is determined by the mixture of rain (MOR).
• However, existing solutions and established datasets lack full consideration of the MOR.