Anycost GAN

2000년 도입 · 논문 2편에서 사용

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 $E$ 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.

출처: Anycost GANs for Interactive Image Synthesis and Editing

소개 논문: Anycost GANs for Interactive Image Synthesis and Editing