Text-to-image diffusion models have remarkably excelled in producing diverse high-quality
and photo-realistic images. This advancement has spurred a growing interest in …

This study investigates identity-preserving image synthesis, an intriguing task in image
generation that seeks to maintain a subject's identity while adding a personalized, stylistic …

Recent advances in large pretrained text-to-image models have shown unprecedented
capabilities for high-quality human-centric generation, however, customizing face identity is …

Recent advances in text-to-image models have opened new frontiers in human-centric
generation. However, these models cannot be directly employed to generate images with …

Portrait customization (PC) has recently garnered significant attention due to its potential
applications. However, existing PC methods lack precise identity (ID) preservation and face …

In the field of human-centric personalized image generation, the adapter-based method
obtains the ability to customize and generate portraits by text-to-image training on facial …