Truncation Trick

2000년 도입 · 논문 136편에서 사용

The Truncation Trick is a latent sampling procedure for generative adversarial networks, where we sample $z$ from a truncated normal (where values which fall outside a range are resampled to fall inside that range). The original implementation was in Megapixel Size Image Creation with GAN. In BigGAN, the authors find this provides a boost to the Inception Score and FID.

출처: Megapixel Size Image Creation using Generative Adversarial Networks

소개 논문: Megapixel Size Image Creation using Generative Adversarial Networks