As a common image editing operation, image composition aims to combine the foreground
from one image and another background image, resulting in a composite image. However …

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 color harmonization algorithm aims to automatically match the color distribution of
foreground and background images captured in different conditions. Previous deep learning …

Digital image authenticity has promoted research on image forgery localization. Although
deep learning-based methods achieve remarkable progress, most of them usually suffer …

In this paper, we present PCT-Net, a simple and general image harmonization method that
can be easily applied to images at full resolution. The key idea is to learn a parameter …

In this paper, we present a Neural Preset technique to address the limitations of existing
color style transfer methods, including visual artifacts, vast memory requirement, and slow …

Learning-based image harmonization techniques are usually trained to undo synthetic
global transformations, applied to a masked foreground in a single ground truth photo. This …

The goal of image harmonization is adjusting the foreground appearance in a composite
image to make the whole image harmonious. To construct paired training images, existing …

Image harmonization aims to produce visually harmonious composite images by adjusting
the foreground appearance to be compatible with the background. When the composite …

Incorporating a customized object into image generation presents an attractive feature in text-
to-image generation. However, existing optimization-based and encoder-based methods …