The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …

Recent advances in personalized image generation have enabled pre-trained text-to-image
models to learn new concepts from specific image sets. However these methods often …

Personalization has emerged as a prominent aspect within the field of generative AI
enabling the synthesis of individuals in diverse contexts and styles while retaining high …

Recent works on diffusion models have demonstrated a strong capability for conditioning
image generation, eg, text-guided image synthesis. Such success inspires many efforts …

Recent advances in text-to-image generation have made remarkable progress in
synthesizing realistic human photos conditioned on given text prompts. However existing …

Text-to-image model personalization aims to introduce a user-provided concept to the
model, allowing its synthesis in diverse contexts. However, current methods primarily focus …

Public large-scale text-to-image diffusion models, such as Stable Diffusion, have gained
significant attention from the community. These models can be easily customized for new …

Abstract Large-scale Text-to-Image (T2I) models have rapidly gained prominence across
creative fields generating visually compelling outputs from textual prompts. However …

Customized generation using diffusion models has made impressive progress in image
generation but remains unsatisfactory in the challenging video generation task as it requires …

Pre-trained large text-to-image models synthesize impressive images with an appropriate
use of text prompts. However, ambiguities inherent in natural language, and out-of …