This work presents AnyDoor a diffusion-based image generator with the power to teleport
target objects to new scenes at user-specified locations with desired shapes. Instead of …

Image editing aims to edit the given synthetic or real image to meet the specific requirements
from users. It is widely studied in recent years as a promising and challenging field of …

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 generation has recently witnessed remarkable achievements. We introduce a
text-conditional image diffusion model, termed RAPHAEL, to generate highly artistic images …

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

Text-driven video generation witnesses rapid progress. However merely using text prompts
is not enough to depict the desired subject appearance that accurately aligns with users' …

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 …

Image editing serves as a practical yet challenging task considering the diverse demands
from users, where one of the hardest parts is to precisely describe how the edited image …

Despite the recent progress in text-to-video generation, existing studies usually overlook the
issue that only spatial contents but not temporal motions in synthesized videos are under the …

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