Recent progress in personalized image generation using diffusion models has been
significant. However, development in the area of open-domain and test-time fine-tuning-free …

Personalization is an important topic in text-to-image generation, especially the challenging
multi-concept personalization. Current multi-concept methods are struggling with identity …

Visual text rendering poses a fundamental challenge for contemporary text-to-image
generation models, with the core problem lying in text encoder deficiencies. To achieve …

In the rapidly advancing realm of visual generation, diffusion models have revolutionized the
landscape, marking a significant shift in capabilities with their impressive text-guided …

With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …

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 …

In this paper, we study an object synthesis task that combines an object text with an object
image to create a new object image. However, most diffusion models struggle with this …

In subject-driven text-to-image generation, recent works have achieved superior
performance by training the model on synthetic datasets containing numerous image pairs …

Conditional visual generation has witnessed remarkable progress with the advent of
diffusion models (DMs), especially in tasks like control-to-image generation. However …

Marketers spend billions of dollars on advertisements, but to what end? At purchase time, if
customers cannot recognize the brand for which they saw an ad, the money spent on the ad …