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 …

The pursuit of controllability as a higher standard of visual content creation has yielded
remarkable progress in customizable image synthesis. However, achieving controllable …

Recently, diffusion models have achieved remarkable success in text-to-image generation,
enabling the creation of high-quality images from text prompts and various conditions …

Text-to-Image diffusion models have made tremendous progress over the past two years,
enabling the generation of highly realistic images based on open-domain text descriptions …

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

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

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 …

Video moment retrieval pursues an efficient and generalized solution to identify the specific
temporal segments within an untrimmed video that correspond to a given language …

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 …