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 …

Text-driven diffusion models have exhibited impressive generative capabilities, enabling
various image editing tasks. In this paper, we propose TF-ICON, a novel Training-Free …

Object compositing based on 2D images is a challenging problem since it typically involves
multiple processing stages such as color harmonization, geometry correction and shadow …

Given a composite image, image harmonization aims to adjust the foreground to make it
compatible with the background. High-resolution image harmonization is in high demand …

Recent works on image harmonization solve the problem as a pixel-wise image translation
task via large autoencoders. They have unsatisfactory performances and slow inference …

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

Generative object compositing emerges as a promising new avenue for compositional
image editing. However the requirement of object identity preservation poses a significant …

Image harmonization aims to achieve visual consistency in composite images by adapting a
foreground to make it compatible with a background. However, existing methods always …

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 …

Image harmonization, aiming to make composite images look more realistic, is an important
and challenging task. The composite, synthesized by combining foreground from one image …