Generic image inpainting aims to complete a corrupted image by borrowing surrounding
information, which barely generates novel content. By contrast, multi-modal inpainting …

The field of generative image inpainting and object insertion has made significant progress
with the recent advent of latent diffusion models. Utilizing a precise object mask can greatly …

Object inpainting is a task that involves adding objects to real images and seamlessly
compositing them. With the recent commercialization of products like Stable Diffusion and …

We introduce precise object silhouette as a new form of user control in text-to-image
diffusion models, which we dub Shape-Guided Diffusion. Our training-free method uses an …

The completion of large occluded human body images poses a unique challenge for
general image completion methods. The complex shape variations of human bodies make it …

Instance segmentation datasets play a crucial role in training accurate and robust computer
vision models. However, obtaining accurate mask annotations to produce high-quality …

The layout guidance, which specifies the pixel-wise object distribution, is beneficial to
preserving the object boundaries in image inpainting while not hurting model's …

In this work, we study the task of sketch-guided image inpainting. Unlike the well-explored
natural language-guided image inpainting, which excels in capturing semantic details, the …

Instance segmentation datasets play a crucial role in training accurate and robust computer
vision models. However, obtaining accurate mask annotations to produce high-quality …

Abstract Language is such a powerful representation for capturing the knowledge and
information about our world. It excels at expressing discrete concepts such as objects and …