2024
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis
ECCV 2024poster
"An emerging area of research aims to learn deep generative models with limited training data. Implicit Maximum Likelihood Estimation (IMLE), a recent technique, successfully addresses the mode collapse issue of GANs and has been adapted to the few-shot setting, achieving state-of-the-art performanc…