Kinship face generation

1 papers with code • 0 benchmarks • 0 datasets

Kinship face generation

Most implemented papers

StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis

CVI-SZU/StyleGene CVPR 2023

As cycle-like losses are designed to measure the L_2 distances between the output of Gene Decoder and image encoder, and that between the output of LGE and IGE, only face images are required to train our framework, i. e. no paired kinship face data is required.