BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation

3 code implementations • NeurIPS 2021 • Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, Wen Zheng

Specifically, we first train a self-supervised style encoder on the generic artistic dataset to extract the representations of arbitrary styles.

Face Generation

RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization

no code implementations • 1 Mar 2024 • Mengqi Huang, Zhendong Mao, Mingcong Liu, Qian He, Yongdong Zhang

However, the inherent entangled influence scope of pseudo-words with the given text results in a dual-optimum paradox, i. e., the similarity of the given subjects and the controllability of the given text could not be optimal simultaneously.