Recent advancements in generative models have significantly impacted content creation,
leading to the emergence of Personalized Content Synthesis (PCS). With a small set of user …

Abstract Text-to-image (T2I) diffusion models have shown significant success in
personalized text-to-image generation, which aims to generate novel images with human …

Recent advancements in image generation have enabled the creation of high-quality
images from text conditions. However, when facing multi-modal conditions, such as text …

Recent advancements in generative models have significantly facilitated the development of
personalized content creation. Given a small set of images with user-specific concept …

We introduce UniReal, a unified framework designed to address various image generation
and editing tasks. Existing solutions often vary by tasks, yet share fundamental principles …

Current human image customization methods leverage Stable Diffusion (SD) for its rich
semantic prior. However, since SD is not specifically designed for human-oriented …

Advanced diffusion-based Text-to-Image (T2I) models, such as the Stable Diffusion Model,
have made significant progress in generating diverse and high-quality images using text …

Recent advancements in image generation models have enabled personalized image
creation with both user-defined subjects (content) and styles. Prior works achieved …

Zero-shot subject-driven image generation aims to produce images that incorporate a
subject from a given example image. The challenge lies in preserving the subject's identity …

Diffusion models have made compelling progress on facilitating high-throughput daily
production. Nevertheless, the appealing customized requirements are remain suffered from …