Description
Anycost GAN is a type of generative adversarial network for image synthesis and editing. Given an input image, we project it into the latent space with encoder and backward optimization. We can modify the latent code with user input to edit the image. During editing, a sub-generator of small cost is used for fast and interactive preview; during idle time, the full cost generator renders the final, high-quality output. The outputs from the full and sub-generators are visually consistent during projection and editing.