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

Text-to-image models offer a new level of creative flexibility by allowing users to guide the
image generation process through natural language. However, using these models to …

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

Art reinterpretation is the practice of creating a variation of a reference work, making a paired
artwork that exhibits a distinct artistic style. We ask if such an image pair can be used to …

We introduce a new architecture for personalization of text-to-image diffusion models,
coined Mixture-of-Attention (MoA). Inspired by the Mixture-of-Experts mechanism utilized in …

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 …

Multi-modal generative AI has received increasing attention in both academia and industry.
Particularly, two dominant families of techniques are: i) The multi-modal large language …

Customized text-to-image generation aims to synthesize instantiations of user-specified
concepts and has achieved unprecedented progress in handling individual concept …

The dominant paradigm in generative modeling consists of two steps: i) pre-training on a
large-scale but unsafe dataset, ii) aligning the pre-trained model with human values via fine …

Personalized generation paradigms empower designers to customize visual intellectual
properties with the help of textual descriptions by tuning or adapting pre-trained text-to …