Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning

Understand

Most deraining works focus on rain streaks removal but they cannot deal adequately with heavy rain images.

• In heavy rain, streaks are strongly visible, dense rain accumulation or rain veiling effect significantly washes out the image, further scenes are relatively more blurry, etc.
• In this paper, we propose a novel method to address these problems.
• We put forth a 2-stage network: a physics-based backbone followed by a depth-guided GAN refinement.