DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

Understand

We present a new end-to-end generative adversarial network (GAN) for single image motion deblurring, named DeblurGAN-v2, which considerably boosts state-of-the-art deblurring efficiency, quality, and flexibility.

• DeblurGAN-v2 is based on a relativistic conditional GAN with a double-scale discriminator.
• For the first time, we introduce the Feature Pyramid Network into deblurring, as a core building block in the generator of DeblurGAN-v2.
• It can flexibly work with a wide range of backbones, to navigate the balance between performance and efficiency.